video guide
Create your account here
a gift box
add a field
field analysis
Tracking Fees
historical climate
weather forecast
exploration
Field Classification Table
zoning
Recording of field activities
Data Administrator
Tools for working with fields and tasks
For a more user-friendly and efficient EOSDA Crop Monitoring experience, you need to know more about the following interface tools:
- Filter
- classification
- search for
- field map
These simple tools will save you a lot of time!
Filter
Filters are customizable search criteria. Your exploration fields or tasks (switch to the Exploration tab) can easily be filteredculture namesjgroup names. Simply check/uncheck the appropriate box and click on itUSE.
classification
Use the sort option on the right to sort your review fields or tasks (switch to Review tab). The following sort orders are currently available: newest, oldest, by field name: ascending/descending, or field range: smallest to largest/largest to smallest.
field research
In order not to waste time scrolling through the list of existing fields or tasks (go to the Scouting tab), you can easily find a specific field via thefield researchoption by typing the field name in it.
field map
field mapis a profile of a specific field, showing the most basic data:
- Feldname
– square (measured in ha)
– Group (displayed when the field has been added to a group)
– Culture (Culture currently growing in this area)
– City (district and country)
Find Field button.
Isresearch fieldThe button allows you to instantly enlarge a field on the map.
By default they are onAt sightTab where you can switch between different levels: My Plants, Vegetation, Water Stress, Vegetation Index and Plant Ranking.
pressing theresearch fieldbutton allows you to preview the field on any of these layers.
You can view multiple adjacent fields within your AOI (area of interest) at once without having to open your field maps individually. This way you can quickly understand what is happening on your fields in this area. For example, if you want to see the water stress values for these fields, click the buttonresearch fieldicon on the field map.
The tool also helps you quickly return to the field and zoom in on the map.
For example, if you have the field map open, zoomed out, or scrolled, just press the buttonresearch fieldto enlarge the field again.
Working with cut card
find location
To get started with EOSDA Crop Monitoring, you need to find themLocationFirst. Please choose one of the options:
1.Use the search box
Enter the geographical name of an object in the search field.
2. use coordinates
Enter the coordinates of an object in the search field, longitude first, latitude last.
Note: For lengthssouth of the equator, put a "-" (minus) in front of the number. Also for latitudeswest of the Greenwich meridian, put a "-" (minus) in front of the number.
zoom tool
Zooming in ("+") and zooming out ("-") is used for easier navigation (the same functionality is possible with the mouse wheel).
Distance and area measurements
Ismeasure the distanceThe tool (left sidebar) is used to calculate the total area of a field or to measure the distance between objects. Summarize your field or measure the distance to see the result at the bottom of the screen.
shared view
Isshared viewThis feature allows you to compare the vegetation indices of the selected field for different dates. This provides the ability to track the dynamics of changing status of crops over time based on the values of 5 different vegetation indices to identify problems and effectively plan field activities.
First, select the field to analyze from the Fields list and click the buttonshared viewicon in the menu on the left.
Your screen will be split into two equal parts.
You can now select rates and dates to compare dates. To do this, use individual timelines and the course change panel.
If needed, you can expand the legend to review the selected index values, just like in single view.
Note: By default, NDVI values for the latest available image date are displayed for the selected field.
You can also use the calendar to select the desired picture date, in which the available picture dates are highlighted in white.
If you hover the mouse over any point within the field, the values of the indices selected for this point will be displayed on the map on both screens synchronously. This allows you to compare index values for the same point within the field but for different dates.
For example, to see how the vegetation in your field has evolved, select NDVI for both viewers and switch between the dates in the timeline. This allows you to identify areas of the field with more or less uniform vegetation and identify areas that require more attention.
Note: Historical data on vegetation index values goes back 5 years.
It is also possible to monitor how the vegetation status in the field has changed using the values of other available indices, including the NDMI Moisture Index. With the help of this index, you can identify impending water stress and plan irrigation efficiently.
You can also select and compare different indices in each viewer. It is useful for more complex field analysis as one index may not be enough to get a complete picture of the health of your crops. For example, in the early stages of plant development, the presence of bare soil can affect the accuracy of the NDVI. Therefore, it makes sense to compare the NDVI to other vegetation indices for the same field and date.
By comparing different vegetation indices, you can visualize and analyze the current state of plants based on plant species and growth stage.
For example, here you see two different vegetation indices for the same field and date.
You can also download data by clicking the download button next to the index name.
To return to single view mode, click the appropriate icon in the left menu.
Layers: An integrated plant health analysis on one canvas
IsThe lawWith this function you can view and analyze the status of the crops on all your fields at the same time. Simply switch between 5 parameters or layers:My plants, vegetation, water stress, vegetation index and plant classificationin a convenient drop-down menu.
The system will only select images with less than 90% cloudiness that represent all your fields. Cloudy areas are marked with the corresponding mask. To see your fields you need to zoom in and out from the pins to the field outlines.
You can alsoSort data by season and yearUse ofFilterin the menu on the right. With it you have the possibility to analyze the development history of a certain culture in all its fields simultaneously for 5 years in relation to the selected layer. The data obtained will help you to identify problematic fields and make safe decisions as well as plan crop rotations and field activities effectively.
My culture level
The first level in the levels list ismy harvest. When this layer is selected, the fields on the map are sorted by culture. In this way you can get an overview of the distribution of crops on your fields. Each culture has a corresponding color, which is shown in the legend in the lower-right corner of the screen. By default, the map shows the most recently planted crops for all fields.
A special button allows you to select the vintage and the yearFilter.
With an on-screen view of crop rotation over the past 5 years, you can make more informed planting decisions.
vegetation layer
This layer shows the vegetation level on all your fields at once, based on the NDVI vegetation index values. For each field, the system displays the average index value and highlights it with a specific color. Each color corresponds to one of 10 specific ranges of values shown in the legend at the bottom right corner of the screen. By displaying these NDVI strips on the screen, you can comprehensively analyze the vegetation status on all your fields at once, identify problem fields or a group of fields, and effectively plan actions for further follow-up.
If you want to analyze a specific field or group of fields, click Select Group.Use ofFilterin the menu on the right.
When you select a field on the map, you automatically switch to the monitoring view for that field according to the NDVI index values for the selected date.
Note: You can also create a new field group based on vegetation data for different fields.
By default, vegetation data is displayed based on the last available field image.
Note: The images available are the images that have all their fields at once. Cloudy areas are marked with a corresponding mask.
To view a previous image, select the date in the timeline at the bottom of the screen.
Note: Images taken more than a year ago are only available for Pro users.
Note: If a field or group of fields exceeds the field area limit of your subscription plan, those fields will be marked with a Pro icon.
At the vegetation level, you can also use a special filter to select the crop and year. This allows you to simultaneously analyze fields for a specific crop and vegetation. This data will help you to find out the relationship between the vegetation of the field and the crop it is planted with. This allows you to make confident decisions about field activities.
water stress layer
The water stress layer shows moisture levels in plants in all their fields according to NDMI values. For each field, the system displays the average index value and highlights it with a specific color. Each color corresponds to one of 10 specific ranges of values shown in the legend at the bottom right corner of the screen. This allows you to analyze the moisture levels of all your fields at once, identify problem areas (too little or too much moisture) and effectively plan future watering.
Use the filter in the right-hand menu to view moisture readings for a specific field, crop, and year.
When you select a field on the map, you automatically switch to the monitoring view for that field according to the NDMI index values for the selected date.
By default, moisture data is displayed based on the last available field image.
Note: The images available are the images that have all their fields at once. Cloudy areas are marked with a corresponding mask.
Note: Water stress level is only available for Pro users.
vegetation classification layer
The field classification layer is analogous to the field classification table. This layer shows all of its fields according to the average NDVI index value. This allows you to see productivity data for all your fields on one screen.
By default, NDVI average data is displayed based on the latest field image available.
Note: The images available are the images that have all their fields at once. Cloudy areas are marked with a corresponding mask.
You can also select Field, Season and Year by selecting the required options from the right-hand menu.
Note: The vegetation rating level is only available for Pro users.
crop classification layer
The crop ranking layer is only available in Ukraine and shows the locations of all crops across the country based on the ranking map produced by EOSDA. The list of available plants is displayed in the lower right corner of the screen instead of the vegetation index legend.
Note: On the Crop Classification layer, you can only filter fields by season.
You can also add any fields that appear on this layer's map to your field list. To do this, select the desired field on the map and click on it.
give clickadd fieldto add the field to the system.
Note: The culture ranking level is only available for Pro users.
Kontrastsehen
switch betweenStandardjContrastField views on the map by clicking on the corresponding icon in the lower right corner of the map.
If thatKontrastsehenactivated, the icon appears blue.
Standard vs Contrast View: What's the Difference?
default viewIt is best applied when the values of a particular index in the field vary widely and cover most of a standard range of values. For NDVI* it's -1 to 1. On the map you can see smooth transitions of different shades of red, yellow and green** without much or no contrast.
*Default range may vary by index.
**NDMI is represented by different shades of blue.
Kontrastsehen, on the other hand, solves the problem of displaying the low variability of the index values in the field when it is necessary to highlight the differences.
Each shade on the map palette corresponds to the available index value. Indefault view, the small variability in index values will appear as a cluster of several similar tones. To better highlight differences and identify problem areas in the field, you should enable theKontrastsehen. In this case, instead of a cluster of shadows blending together on the map, you see different colors revealing planting issues that you may not have noticed before.
Kontrastsehenapplies to all indices available in our product, including the NDMI moisture index.
At sight
To access satellite imagery of your fields, get weather forecasts and other data, you must first add fields to your account. There are several accessible options:
- Draw field on map
- upload stock
- Bespoke freight (contact us)
start with one click+ADD FIELDis located in the lower right corner of the screen.
A window with available options should appear.
upload stock
This option allows files with pre-drawn field contours to be uploaded to the system. Currently EOSDA Crop Monitoring supports 4 different types of formats:.shp,.kml,.kmz,.geojson.
You can drag and drop or click files onto the web pageadd your fields.
Once the field outlines appear along with those on the mapfield mapData in the right sidebar menu, clickADD TO MY FIELDSto complete the process.
Or you can clickCancel(located directly under theADD TO MY FIELDSbutton) to cancel.
A modal window offers two options:
- HELLO AND ON. Press this button to automatically add the loaded field to the list.
- DELETE AND CONTINUE. Press this button if you do not want to add the loaded field to the list.
Add more information about the newly loaded field to ensure maximum monitoring efficiency.
- Field name (for your convenience)
- Group name (to better organize your fields in the list)
- Crop rotation data* (to manage your fields by crop name, planting date and season).
*Accurate monitoring of vegetation development depends on the accuracy of crop rotation data.
types of errors
The .prj file responsible for the coordinate system is missing, add it and reload it
The file cannot be loaded because EOSDA Crop Monitoring cannot determine the coordinates of the fields in the file.
The .shp file requires a.pjThe one that contains the coordinate system type of the source product.
The file format is not supported. Use .shp, .kml, .geojson or zip file formats that contain .shp, .shx, .dbf files.
Check the file format, you may be loading an invalid format or there is an invalid file in the.Zipperfile
Overview of the file formats that can be loaded onto the system:
- FILE FORM: A.shpis the main file where field geometry is stored, it is mandatory..shxis the index file in which the geometry index of the fields is stored, it is mandatory. He.dbffile is a table containing the field attributes (field name, culture, etc.), it is mandatory. Equally important is the.pjFile storing information about the coordinate system.
- KML-DATA: A.kmlis a file that contains all elements of a layer or map: object geometry, conventions, descriptions, attributes, images and other valuable information.
Note that only object geometry (polygon shape consisting of at least 3 points) can be loaded into EOSDA Crop Monitoring. - GEOJSON: O.geojsonThe format can store primitive types of geographic feature descriptions, such as B.: points (addresses and places), lines (roads, highways, borders), polygons (countries, states, properties). This file can also store so-called multitypes, which are a fusion of several primitive types. Please note that of all the objects contained in this file, only polygons can be loaded into EOSDA Crop Monitoring.
- ZIP FILE: You can a.ZipperFile to load files that are part of the shapefile structure, in particular.shp,.shx,.dbf,.pj.
No polygons found in file. Note that separate lines and points are not supported. The system only recognizes polygons.
This error occurs when the file you are trying to load is not a polygon shape but a label, point, photo, line, road, or some other unsupported element.
In EOSDA Crop Monitoring you can only load files that contain a polygon shape, i.e. H. an object in which there are at least three connected coordinate points, all connected to each other.
The file size exceeds 10 MB. Split it into smaller files
The error occurs when the file to be uploaded is larger than 10 MB. You can fix the problem by archiving the file in.Zipperif it is a shape file. Yes.Zipper,.kmlÖ.geojsonFiles are larger than 10MB, the most likely explanation is that the file contains too many objects (fields) and it is better to re-save these fields from their source and split them into 2 or more files.
The field has intersecting contours that are not supported. Correct it
This error reports that the contours of some of the fields contained in the file overlap (intersect or intersect) which prevents the polygons from being correctly created in EOSDA Crop Monitoring. You must validate your boxes and contours in the source you are exporting them from.
Field is larger than 10,000 ha / 24,710 ac, please resize or draw a new field
The error occurs when the area of the field whose outline you are trying to load as a polygon shape is greater than 10,000 hectares or 24,710 acres. You must either edit the polygon contours in the source or manually draw the contours in EOSDA Crop Monitoring.
draw field
The Draw Polygon option is used to outline your field and add it to the map.
Once that is done, click on the buttonSAVE IN MY BOXESand give the new field a name, select the plant name, planting date and season for your crop. then clickSAVE ON COMPUTERto add a field to your field list.
Field menu section of the right sidebar
Use the field menu section on the right sidebar to track, review or modify activity related to your field with features developed in EOSDA Crop Monitoringedit field,crop rotation,the time todayjexploration tasks.
edit field
You can edit your fields as needed by accessing a three-dot menu and thenEditin your field list.
ÖEditto the right of the field map.
crop rotation
Crop rotation data shows the historical crops that were previously grown in the field as well as the current crop being grown. This information is extremely useful. For example, sugar beets grown in the same field two years in a row can cause disease in the plants that grow there later. Correct crop rotation data includes 3 components:NameAgaincut,Sowing time, it's himRailroad stationwhen the crop was or will be harvested.
Note: You must click on the exact oneSowing timein the calendar box. Make sure the selected date is blue on the calendar.
The time today
Log in every morning to track the weather:
- Temperature
- wind speed and direction
- humidity
- Clouds
- precipitation
This keeps you up to date and allows you to react to changes in good time.
For example. They wanted to apply fertilizer and it will rain.
exploration tasks
To send a scout into the field, you must create a scout task. This task is automatically sent to the mobile app, where a browser can retrieve it for further execution. To perform the action, click the button+ ADD NEW TASKat the bottom of the task list or assign a task by selecting one of its fields.
Place a mouse pointer over the area you want to examine and the New Task window will appear. Contains the preview of your field with a pointer and the coordinates of the field. Fill in the appropriate fields withHomework name,Description,jauthorized representativeand clickSAVE ON COMPUTER. Upon completion, the task will immediately appear in your task list as well as in the mobile app linked to your account.
rasterize image
Currently we are using the Sentinel-2 sensor and satellite imagery with no more than 60% cloud cover. In this way, the statistics collected contain a representative sample and exclude external factors.
indices
Below are the most commonly used vegetation indices presented in EOSDA Crop Monitoring:
NDVIthe normalized differential vegetation index
The NDVI is calculated based on how a plant reflects and absorbs solar radiation at different wavelengths. The index allows identifying problem areas in the field at different stages of crop growth in order to respond to them in a timely manner. Look for areas where the NDVI values differ significantly. For example, areas of a field with an extremely low NDVI rate may indicate problems with pests or crop diseases; and areas of abnormally high NDVI signal weed growth.
EXCHANGEor RedEdge normalized difference*
The NDRE is an indicator of the photosynthetic activity of a canopy used to estimate the nitrogen concentration in plant leaves in the middle and end of a season. It enables the detection of suppressed and aging vegetation and is used to identify plant diseases. It also allows you to optimize the harvest time.
*The red edge band is a narrow band in the vegetation reflectance spectrum between the red and near-infrared transitions.
MSAVIo Modified adjusted ground vegetation index
MSAVI makes it possible to determine the presence of vegetation in the early stages of emergence when there is a lot of bare ground. The index minimizes the effect of bare ground on vegetation map display. Based on the index, you can create differential application maps of fertilizers in the early stages of crop growth.
ReCI oder Red Border Chlorophyll Index
ReCI is an index of the photosynthetic activity of a vegetation cover that is sensitive to the chlorophyll content in the leaves. Because chlorophyll levels are directly related to nitrogen levels in the crop, the index allows you to identify areas of the field with yellowed or discolored leaves that may require additional fertilization.
A humidity index is currently available on the platform:
NDMI or Normalized Differential Moisture Index
The NDMI describes the water stress level of the plants and is calculated as the ratio between the difference and the sum of the refracted radiation in the near infrared and SWIR spectrum. By interpreting the absolute value of the NDMI, you can immediately identify areas where the farm or field is suffering from water stress. The NDMI is easy to interpret: its values vary between -1 and 1, and each value corresponds to a different agronomic situation, independent of the crop.
NDVI, NDRE, MSAVI, ReCI, NDMI are indices that can be selected from the drop-down menu on the left or from the three-dot menu in the small area above the analysis window.
Go downstairs
For example, a small panel above the analysis window allows you to download the NDVI map in .tiff or .shp format. The shape format indicates the NDVI pixel value at each point, and the TIFF format shows a normal image with NDVI applied.
The statistics
To expand the statistics to check your field's index, use the small panel above the analysis window. Statistics can be displayed in hectares or percentage.
turbidity
We do not upload satellite images with more than 60% cloud cover. When using an index, no external factors should influence the overall picture. However, we see the possibility of achieving an image value with 60% cloudiness as positive. Statistics are shown in ha and percent. The clouds appear as a white mask over the field.
Date range
Shows all images with less than 60% cloud cover. When you select a date, you see a satellite image with an index applied for that day.
Note: You can preview the image by hovering over the date in the timeline.
Base layer: elevation map
The elevation map is a digital model that visualizes elevation changes in your field. The model allows agronomists to identify potentially problematic areas of the field:
- flood risks
- limited access to water
- erosion risks
and other types.
In combination with other data (NDVI, productivity map and others), the elevation map helps to identify and eliminate factors that hinder the development of vegetation.
This model also allows you to more accurately measure the field area. It is important to know the exact area of your field in order to correctly calculate the number of seedlings, fuel and time required to carry out activities in the field.
How do I find the elevation map?
By default, you will see your field's NDVI values on the map. To view elevation changes, click the index box and select the elevation map from the drop-down list.
Now you can see elevation changes in your field.
Bumps are visualized as different shades, from low dark green areas to high dark red areas. If you hover your mouse over the map, you can also see the actual elevation of each point in your field in meters above sea level.
To better understand your field's elevation differences, see how the color scheme maps to elevation values. Just click on the extension icon in the lower right corner.
You can now see how much area a matching bump occupies in your field and what hue is used to represent it.
In addition, you can also download the elevation map as a .tiff file by clicking the download icon in the bottom right corner.
Chart
The analysis window is automatically displayed at the bottom of the screen when the field is selected.
graphic legend
Diagrams showing a representation ofNDVI(normalized difference vegetation index) are in the middle of this window.
There is also the ability to compare years so you can monitor the performance of your crop against data collected in the past. To view data for a specific date, hover over the graph.
Vegetationszeitindizes
Each curve can be turned off by clicking on the corresponding colored buttons in the legend. This allows you to disable unnecessary items and compare interest rates by interest years.
Weather maps
To display weather data in the chart, select the required data type from the Weather Data drop-down list.
Temperature data includes:
- T°C min./max.
- cold/heat stress
Humidity data includes:
- Rainfall in mm
- Soil moisture root zone in %
- soil moisture in %
Temperature
Minimum Temperature curveshows the history of the minimum temperatures that have occurred in your field over a specific period of time. Whenever this curve crosses thecold stressMarking at -6°C, your winter crops may be damaged or fall out. Follow the curve and react when approaching cold stress. Over time, based on this chart, you can trend to better protect your crops.
Maximum temperature curverepresents the record of maximum temperatures in the field over a period of time. Whenever you cross theheat stressmarking at +30°C, your plants are threatened by drought. Follow the curve and react when approaching heat stress. Over time, based on this chart, you can trend to better protect your crops.
humidity
rain chartshows the course of precipitation in the field measured in mm. You can use this graph to trend and adjust watering and fertilization schedules to increase efficiency.
soil surface moistureThe curve represents the change in the amount of water in the top inches of soil over time. Based on this data, you can make more informed watering decisions.
soil moisture in the root zoneThe curve shows the change over time in the amount of water available to the plant roots. Improve water management by making decisions based on this data.
stages of growth
Usestages of growthto find out what stage your harvest is in right now. If not required, you can hide the curve display at any time by clicking on the growth stages.
Use! You need to add crop rotation information to see the growth stages of your crops.
period is enough
By default, a period of one year or the date range selected in the calendar is displayed.
If you want to define a date range and display the default year view, clickTo update.
Climate
Just clickforecastto be redirected to the weather pageThe time todayThe data is not sufficient for you or a comparison with other growing seasons is required.
All of this information can be obtained from theweather analysisTab also in the right sidebar.
historical climate
historical climateare archived temperature and precipitation data. To define the growing season, use the calendar to select the desired season (available from 2008) and its start and end dates. By default, the growth step curve is displayed on all charts. If no steps are taken during the selected time period, the pointer will be disabled. You can always disable it manually if it is not informative to you.
To add a curve with data from the last five years, activate the buttonCompare to the 5-year averagePossibility.
Cumulative and daily precipitation charts
Once5-year averageis activated, you will see the average of the current period and the rainfall amounts of the last 5 years in charts to visualize the collected information for later analysis.
Accumulated precipitation graph
daily rainfall table
daytime temperatures
The graph shows the °C min and max °C, as well as the 5-year average of min °C and max °C when the 5-year average option is selected.
Sum of active temperatures
The drop-down menu offers three options to choose from: 0°C (1°C to 5°C), 5°C (6°C to 10°C) and 10°C (11°C and above). So if you select the date range 6°C to 10°C, which is a 5°C filter option in the list, you will see the sum of those temperatures.
weather forecast
Isweather forecastThe option gives access to the weather forecast for 14 days. Wind speed, humidity, cloud cover and expected precipitation are also shown on the screen.
exploration
task description
To get a more detailed description of the task, select it on the Review tab, which is divided intoGenerallyjMessage.
Generally
GenerallyIt's for those who do their homework. You can change the name or description, upload a photo of the field, or close a task when it's complete.
Message
IsMessageThe guide is for explorers. Scout selects the date the field was inspected, enters a customer name e.g. Change field owner and field number, field area and crop name, hybrid and planting date with this tab.
With the help of this tool, the scout adds developmental stages with indication of root thickness and number of leaves, determines plant density and performs a final field assessment indicating the condition of the crops and leaving an expert comment. After making any necessary changes, the assignee closes the task when it's complete, or updates the task if necessary.
Go downstairs
If you need to download the report in a spreadsheet, click the buttonExportat the top of the Task tab to have it processed automatically.
closed tasks
When you complete the task, it will be automatically moved to theTab closedfrom the task list, shown as closed on the map.
Field Classification Table
Field Classification TableIt is designed to help users prioritize their field management tasks according to the changing NDVI value.among the bestIt also organizes all your fields in one place according to 1 of 8 different categories:
- Name
- Location
- Area
- group
- Cut
- index value
- change value
- image date
Each array appears as an appropriately sorted and sorted list of fields and can be exported as a PDF file and/or .xls spreadsheet.
By default
By default, theclassificationdisplays your fields sorted by the latest available and most negative imageChange in NDVI value.
Note: The field with the most recent image available may show less drop in NDVI compared to another field with an older image available. This allows you to focus onthe most urgent matters first.
notifications
every time therenew satellite imagesone, several or all of your domains,among the bestis updated You will automatically receive a notification of every update.per Email.
Isnotification emailcontains the following data:
- current index value for the field
- previous image value change
- field name (that you assigned to it)
- field location
- new picture date
- Date of previous image
Each notification email can contain data for up to 3 of the fields currently at the top of theclassification.
Leftovers from NDVI
You can rearrange themclassificationto show your fields sorted by NDVI value change only. The field with thelargest drop in NDVIto scroll automaticallyat the top of the rankings. On the contrary, the field with theadditional increase in NDVI valuewill be ordered for thisat the end of the list.
Parameter
Reassignclassification, click the relevant ranking parameter above theclassification.
The parameter must be activated.
Note: You can always tell which category Fix is currently inclassificationReview of theParameter. only oneParametercan be activated at the same time.
color code
The drop in NDVI is indicated by theRed colorand a minus sign "-" while the increasing NDVI value is displayedGreen, with a “+” sign. If there are no changes during that period, the NDVI value will appear blank.
group
You can sort the fields bygroup. To view all fields at once, selectall groups.
To show fields that do not belong to any group, select the appropriate check box.
Another option is to only show fields that belong to a specific group.
Cut
You can also arrange the fields according to the type of crop you are currently growing.
To show fields that share a common crop, click the appropriate check box.
Note: Fields without crop rotation data added cannot be sorted by crop.
Go downstairs
You can rearrange the fields in theclassificationinto 9 different lists and download them as PDF and/or xls files. spreadsheet.
The download starts automatically as soon as you click on the PDF or XLS button.
select the date
You can select a date to show the NDVI change for the period between two available images of the same field (3-5 days).
1. Find thereport dateField just above the leaderboard.
2. Click anywherereport datecampo
3. Select the date from the pop-up calendar with 1 click
IsclassificationIt is automatically updated to show data from the period between two images before the selected date.
account free
To access theField Classification Table, you need to upgrade your pricing plan toBasicÖprofessional.
you can tryField Classification Tablepaper in yourManifestation campoNOaccount free.
Note: only theDemonstrationsfeldThe data will be accessible.
pull apart
In addition, you can sort the fields within theclassificationbased on 7 different attributes:
- Name (in alphabetical order)
- Location (in alphabetical order)
- Area (from smallest to largest and vice versa)
- Group (1 group/some groups/all groups/no groups)
- Index value (from smallest to largest and vice versa)
- Value change (difference between two images)
- Image date (oldest to newest and vice versa)
You can create 7 different onesleaderboardswith differently arranged fields and download each oneclassificationas a PDF or xls file. spreadsheet.
zoning
Zoning is used to createVRA (Variable Rate Request) cardsfor differentiated sowing and fertilization. can you identifySonson each map and manually define an appropriate amount of seedlings or fertilizer for each zone. You can download VRA maps as shp. Compress file and upload to on-board computer to performdifferential application. This allows you to reduce costs and use resources more efficiently.
Zoning also allows you to save money on expensive “blind” soil tests. Using data extracted from satellite imagery and vegetation indices, Zoning identifies plots in the field with the highest and lowest productivity.
to create thevegetation and/or productivity mapsFor any field, click the zoning icon in the right sidebar menu.
Once you're inzoningFrom the menu, select a field from the list.
You can select the field without saving it firstvegetation/productivity maps. In this case you will be taken to the menu where you can select the type of zoning you wish to perform.
Or you can select a field with the one you created earliervegetation/productivity maps. In this case you will be redirected toyour cardsList of saved maps
symbols forvegetation mapsjproductivity cardsThey are conveniently different. If in doubt, look at the symbols or read the title on the saved card.
To download all previously createdvegetation/productivity maps, select and click what you needyour cardslist and then click the buttonDownload SHPbutton below.
To create a new card, click on the appropriate button below theyour cardslist in the right pane.
after clickingcreate new map, you will be presented with an option:Vegetationcards orproductivitycards
vegetation maps
Usevegetation mapsto calculate how much nitrogen your plants need right now, based on the latest image data available. The color should tell exactly which area is the most problematic. The red color means trouble and probably requires the most nitrogen-rich fertilizer. Green, on the other hand, generally indicates areas of high vegetation density that require much less nitrogen.
to create onevegetation mapyou need to select an appropriate vegetation index from the drop-down menu.
Then select an available oneimage date.
Finally, select the number ofSonsyou want to share the field. You can also set the minimum range for eachZone.
Now all you have to do is clickcalculation
the calculation ofSonsDistribution over the field in thevegetation mapsMenu only takes a few seconds. The result is the newly created map on the left and thevegetation zonesMenu on the right for variable rate application.
You must manually set the application rate for each defined zone by entering the appropriate numbers (depending on the unit system selected in setup). The system automatically calculates the total quantity in the specified units of measure.
This allows you to determine the exact amount of fertilizer to use for each one.Zone.
Note: The green and red colors on the maps represent relatively high and low vegetation. Green is higher than red, red is lower than green.
Make sure there are no anomalies that may have affected the calculations by moving the opacity slider left and right.
opacityis set to 80% by default as this is when all obstacles/anomalies are shown on the overlay image with thevegetation map.
If you move the slider all the way to the left (0%), you can see for sure if there are any objects in the picture that are blocking your view.
You can also clearly see where vegetation is visually extremely low or absent in the field.
If everything looks normal, you can move thatopacitySlider all the way to the right (100%) to see thatvegetation maponly.
The final step is to download the map with the registration fee valueszip file. To do this, click onDownload SHPIn the lower right corner.
productivity cards
productivity cardshelp calculate how much potassium and phosphorus should be used in the field in areas of higher/lower productivity. The red color corresponds to the lowest productivity levels, while the green color indicates the high productivity area. This allows you to spread K and P fertilizer more efficiently on the field.
Note: You can also useproductivity cardsto make soil sampling more accurate by focusing more on areas that appear yellow to red.
This type of zoning is very easy to do. 5 different productivity zones are automatically identified in the field. To calculate them, simply set the dates to create any time period up to 2 years and clickcalculation.
If your land area is less than 2 ha / 4.9 ac, the auto number of zones will be 3 instead of 5 to avoid visual grouping.
Calculations can take a few minutes. The result should look something like this.
You can use the map to understand how to make your field more productive. On the right you can enter the required amount of seed or fertilizer and download the map and total amount in a ZIP file.
How to exclude saved maps
You can remove any card fromyour cardsList at any time by simply clicking "Remove Cart" in the top right corner.
Recording of field activities
Recording of field activitiesis an efficient way to plan and monitor all your field activities for one, multiple or multiple fieldson a screen. you can addplannedjcompleteActivities in an interactive calendar and easily edit information before, during or after completion. You can also use this feature to plan and compare the costs of your farming activities, e.gfertilization,labranz,Plant,Begasung,harvest, and other.
Location
IsRecording of field activitiesit's on a separate tab in the sidebar menu.
Demonstrationsfeld
If you don't already have your own fields, you can useDemonstrationsfeldlearn howRecording of field activitiesworks at EOSDA Crop Monitoring.
record structure
On the screen, all the necessary information about your field activities is arranged in three columns:campo,Sowing, OfActivities calendar.
Feldspalte
Your fields are displayed on the left side of the screencampoSplit.
You can sort fields by name from A to Z or from Z to A.
planting dates
The column shows the most recent planting date for each field in the list.
You can order planting dates from oldest to newest.
Activities calendar
The third column from the left, which takes up most of the screen, is an interactive calendar that is displayedcompletejplannedActivities you have already added to the log.
The calendar is always divided in half by the column representing the current date. AllcompleteactivitiesYou are on the left half. Likewise everyoneplannedactivitiesYou are on the right.
activity status and color
Activities are marked with different colors depending on their completion status.
One day activities
You can add an activity that starts and ends on the same day. If this day is still in the future, it will be displayedgray with stripes.
Once your current date is “following” that.planned start date, switches off automaticallygrauARot.
This means that the system has not yet received confirmation that an activity is already running.
How can you change it?
Just add theBeginjcompletion datesAgainlast period.
Click on the activity and select it+icon in the upper left corner of the window.
Now select the start and end date and clickSave on computer.
as soon as i'm doneRotwill change toGreen. Now the campaign is officially over.
multi-day activities
Monitoring your status is a bit more complicated, but the same principles apply. Once the completion process begins, add the completion datelast periodso that the system knows that the activity is already running.
Use the same algorithm as for a day's activity. Click on the activity and select it+icon in the upper left corner of the window.
Then select the start date of thelast periodand clickSave on computer.
Individual day cells in the calendar now automatically change the color ofgrauAazulOne after the other.
Make sure to add thoseEnd date of end periodwhen you finish the activity.azulwill change toGreenthroughout the completion period.
late or early
You can start your multi-day activity one or more days later than planned. In this case, the planned start date does not match the start date of the end period. The lost days remainRoton the calendar
It is also possible that you end your activity a few days later than expected. Once you've added the actual end date to the record, those extra days will becomeRotto show that you missed your own deadline.
On the other hand, if you complete an activity one or more days before the deadline, the extra days will remaingrauon the calendar
Note: If you decide to start completing an activity before its scheduled start date, you must add a new activity to the record. HeStart date of an end periodcannot be earlier thanplanned start date.
completed activity
Finally, you can add as many completed activities as you like. You will receive a different color.Gelb. This allows you to differentiate between planned and unplanned activities.
Add activity
There are two ways to add an activity to the log.
One way is to click the "+" button in the bottom right corner of the screen.
In a window that appears, choose betweencompletejplannedActivity.
Tip: You can add completed activities anytime between January 2016 and the current date.
Select the activity type and estimated start and end dates.
Note: Planned start and end dates "reserve" space on the calendar.
Forplanned activities, the system does not allow you to select past dates.
Likewise, future dates aren't available if you want to add onecompleted activity.
several fields
You can add an activity to multiple fields at once.
NOcostEnter the estimated cost of aplanned activityor the actual cost ofcompletelike
Note: You can compare estimated and actual costs and plan your activities more efficiently in the future.
Adding a description of the activity is optional, but allows you to record your field activities in more detail.
give clickSave on computerto finish adding the activity.
use the calendar
You can also add activities directly to the calendar.
Select the start date of your planned or completed activity, find the appropriate cell and click on it.
organize activities
You can filter logged activities based onYears,field group, culture type, Oftype of activity.
These filters are located on the top bar of the screen.
Click anywhere on the filters to select themyear, group, type of cultivation,Ötype of activityto properly organize your activities.
edit activity
To edit activities, click on them and then on the pencil icon.
Data Administrator
Data AdministratorIt's your chancelet Datenin harvesting, fertilization, fumigation, planting and other activitiesyour vehiclefor EOSDA crop monitoring. To do this, you must first save this data as a standard form file. Depending on the on-board computer configuration of your vehicle, you can view the loaded data in the form of productivity maps, moisture, planting density and other technological parameters recorded by your team while working in the field.
The visualization of this data helps to control the quality of carrying out field activities: the application rate of various agricultural products, the sowing rate, tracking the amount of crop and its moisture and much more. .
Navigation
IsData Administratorit's on a separate tab in the sidebar menu.
load records
The data to be uploaded must be saved as a ZIP file. The file must contain data in SHP format. Use the full format record (*SHP, *SHX, *DBF, *PRJ).
Note: The absence of a *PRJ file is acceptable.
There are three ways to load dataData Administrator:
1. Drag and drop the data file onto theDatacampo
2. Drag and drop the data file into the viewer
3. ClickAdd recordand select the file on your computer
record processing
Data processing takes some time to fully load. In the meantime, you can continue working with other features of EOSDA Crop Monitoring.
Once the data has been successfully processed, a green notification will appear.
To continue working with the loaded data, click on the name of the edited ZIP file in theDataAreaData Administrator.
Map data to field
There are two scenarios for mapping data to the field, depending on whether the data loaded matches fields you already have in your system. If heThe loaded data does not match the contourFrom each field, a "Create and assign field" form appears, offering to create a new field.
Note: The field you create will automatically appear in the system.
1. Name the field
2. Select the type of activity
3. Select the start date of the activity
4. Leave a short description if needed
5. Select all the required parameters on the map (from those configured in your equipment's on-board computer).
Note: You can always edit this information later.
If heLoaded data corresponds to the contourone or more fields, an Add Activity window appears.
1. Select the activity
2. Choose the parameters (among those configured on the on-board computer of your equipment)
3. Leave a description if needed
4. Select one or more fields that match the loaded data (check thecollectvaleria)
5. Select the start date of the activity
6. ClickKartenfeld
data visualization
The activities that you have assigned to the field are displayed in theDataField. To see the displayed data about the performed activity, click on the date of its completion.
To switch between multiple parameters (data types), click on the desired parameter in the legend.
Note: Parameters and their numeric values are loaded from the data file and cannot be modified. You can toggle between the parameters just to compare them with each other, or just select the desired parameter.
Team Management
Team accounts are accounts that can be shared by multiple users to provide everyone with the same source of information about the same fields or groups of fields, allowing for more efficient collaboration between multiple users and better control of employees by farm owners.
Delegating, completing, and reporting tasks via browser is much faster and easier with a team account. Each team member has 24/7 access to satellite field monitoring and can respond to harvesting issues according to the permissions defined by the role assigned to them by the team owner.
Any team member can spot a problem with the crops and create and complete a recon task or assign a currently available team member. Once the verification is completed and the online report is created in the explorer task, the field owner can access it at any time from the team account.
Who else can benefit from using thedevice management function?
For agricultural cooperative members:
- Strong partnerships between cooperative members and farmers
- Transparency and trust in handling data
- Better communication between explorers and field owners
For Agricultural Advisors:
- Higher customer loyalty through complete information about the status of their fields and their activities
- Give customers the opportunity to visually assess the effectiveness of your activities in their areas.
For agricultural traders:
- Providing customers with data that can be used to determine the range and quantity of products offered.
For insurers:
- Provide customers with the data on the basis of which you made the decision about the insured event
- Show the customer the exact data you used to assess the damage
- Easily share data about weather patterns and risks in your region with clients
How to add a user to the team
To increase efficiency in tending crops that regularly grow in all your fields, you need a larger team under your full remote control. By adding new users to your team account, you can create a team of collaborators that will help you cut costs from unnecessary field activities and reduce wasted time.
You can add a new user to the team in three easy steps.
Step 1. Click on your account name in the bottom right corner of the side menu.
Step 2. Select "Team Management" from the drop-down menu.

Step 3. From the team admin panel, click + Invite a new user.
When you open the team admin panel for the first time, you can also click the "INVITE TEAM MEMBER" button in the middle of the screen.

Step 4. In the invitation window, enter the email addresses of the users you want to invite, select the fields or field groups that will be available for this user* and assign the role. Then click Invite.
* A user can have access to a single field, multiple fields, one or more groups of fields, or all fields at once.

Note: Below the role name you can see the list of user access permissions that the role implies.
The invited user will receive an email with the invitation and the link to the team account*.
*The same user can be a member of multiple teams.

Team management features
The practice of assigning roles with clearly defined responsibilities and restricted access is very important when it comes to team management. This means less worry about what your workers might accidentally do to your crops or fields, or even mess up something in your EOSDA Crop Monitoring account.
Because of this, currently any team account holder in EOSDA Crop Monitoring can assign each team member to one of three roles: Administrator, Explorer, Observer.
Let's look at how these roles differ in terms of responsibilities and access restrictions.
Administration
The admin user has the following permissions:
- Add fields to team account
- Edit all fields in the team account
- Create field groups
- Create scan tasks
- Assign exploration tasks to team members
- Edit current scan tasks
- Close scan tasks
- Create scan reports
- add new team members
Explore
The Scout may:
- Add fields to team account
- Show fields and field groups
- Create scan tasks
- Assign exploration tasks to team members
- complete exploration tasks
observer
The observer has the following permissions:
- Show fields and field groups
- Create scan tasks
- Complete exploration tasks*
*The observer can only complete the tasks assigned to him.

How to use the team management dashboard
If you have an EOSDA Crop Monitoring account, you automatically have a team account. Owners and admins can view all relevant information about their teams in the team management dashboard.
The team admin dashboard shows:
- the list of all team members + users who have been invited to the team but have not yet accepted the invitation (members)
- the role of each team member (functions)
- the fields and/or groups of fields available to each team member (Field or group name)
- Time and date of the user's last activity on the computer account (last activity)*
- the actions that the team owner or admin can take on each user (Behave)
*Last active info gives owners and admins more control over each team member.

Behave
The team owner or admin can edit the user's access to fields and/or reassign their role.

Team owners and admins can also remove or remove users from the team.
If the user hasn't accepted/confirmed the invitation, the owner or admin will see the "Resend invitation" action to be taken for that user.

Edit team name
If you are the team owner or admin, you can edit the team account name by clicking the pencil icon next to the name.
Tip: Keep the team name short and simple so that team members can easily identify it when moving between multiple teams.


change teams
If you are a member of multiple teams, you can easily switch between teams. All you have to do is click on the "My Account" icon and select "Switch Teams".

You see the list of your teams. Click the one you want to change, then click SAVE.
If you are a member of multiple teams, the system will automatically display the following:
- What team are you on now?real)
- which team you have set as the default team (By default)
In the list of your teams, you can also see the roles assigned to you in each team account.
Standard-Team
When changing teams, you can also set a team as the default. Each time you log into EOSDA Crop Monitoring you will see fields available under the default computer account.
To set the team as the default, use the toggle button in the "Change team" menu.

Ideas
UseIdeasto select the user interface language and the metric system and to display demo content. The ability to hide demo content is availableonly for pro users.
Note: The demo content includes a demo field, demo drill tasks, and a dataset for the Data Manager feature.
invoice and prices
To get access to paid EOSDA Crop Monitoring features, upgrade your plan toBasicÖprofessional. You can learn more about the specific features available with each subscription plan in ourprice page.
to see themprice page, click or tap the arrow button in the lower-right corner of the screen.
airplanes
If you useBasicplan, you can monitor up to 1000 ha.
For theprofessionalYou are free to choose how many acres you want to monitor and you can add more acres at any time for an additional fee.
We also offer a more personal approachPursuePlan that includes tailor-made solutions and tailor-made prices for farms over 5000 ha, agricultural cooperatives, consultants, IT companies and other customers.
additions
You can find more solutions in ourAccessories store. You can access it by clicking or tapping on its icon in the right menu.
Another way to access theAccessories storeis direct fromprice page.
Access via API
Users can access the tool through the tool among othersAPI.
Current API functions
- Extended satellites (Sentinel-2, Sentinel-1, Landsat 8, Landsat 7, Landsat 5, Landsat 4, MODIS, NAIP, CBERS-4) as data sources
- Erweiterte Vegetationsindizes (NDVI, EVI, GNDVI, CVI, NDRE, MSAVI, RECI, NDSI, NDWI, SAVI, ARVI, GCI, SIPI, NBR, MSI, USTACK, FIDET, CCCI)
- Weather data archive from 20 years ago
to have access
To access the EOSDA documentation, you must click onMy accountin the sidebar menu and then in theAPISymbol. On the API page, clickBegin.
Get the API key now by registering on the developer portal.
FAQs
What is eosda crop monitoring? ›
EOSDA Crop Monitoring is an online satellite-based precision agriculture platform for field monitoring created by EOS Data Analytics (EOSDA), a global provider of AI-powered satellite imagery analytics.
How do you crop monitoring using sensors? ›Wireless sensor network are sensors of different types are used to collect the information of crop conditions and environmental changes these information is transmitted through network to the farmer or devices that initiates corrective action.
What is a crop monitoring system? ›Agriculture monitoring system includes a network of wireless sensors. These sensors collect data from several nodes placed on the field. This data is then analysed by experts or local farmers. Various conclusions can be drawn from the data, such as weather patterns, the fertility of the soil, crop quality, etc.
Why is crop monitoring important? ›Crop monitoring plays an important role in controlling different pests, weeds or diseases in crops. This provides information of the current state of play in the crop and you then project forward in time to predict, what will likely be the next issue in the crop.
How does the crop simulation model work? ›Whole-crop computer simulation models use plant physiology and environmental variables to calculate plant growth, or more specifically, yield and dry matter production. Both directions are increasingly coupled with molecular genetics to facilitate crop modeling.
What data is required for Dssat? ›In addition to site, soil, and weather data, experimental data include crop growth data, soil water and fertility measurements. These are the observed data that are needed for model evaluation.
How do you monitor plant growth? ›Plant trait measurements. After leaf and stem segmentation, important plant traits for growth monitoring are measured: leaf length, leaf width, number of leaves, and stem height. These traits are important as the leaf size plays a vital role in the plant growth.
Which sensor for plant detection? ›RGB sensors are used on every scale of resolution for monitoring plants during the growing season. RGB-color images with the red, green, and blue channels have been used to detect biotic stress in plants (Bock et al.
What are the four system used in crop production? ›Four farm types are identified, i.e., farmers who rent all the land cultivated, farmers who own some land and rent extra land, farmers who own and cultivate all their land, and farmers cultivating only a part of the land they own.
Which type data are used for crop monitoring? ›Optical satellite data have been widely used for monitoring crop condition and productivity. However, the presence of clouds impedes data collection and as such, these cloudy conditions are a significant impediment for monitoring crop development operationally.
What are the crop control strategies? ›
Crop eradication can be effected forcibly or voluntarily (1) by manual plant removal, (2) by biological control through the use of pathogens or predators, or (3) by the use of herbicides. Of the three methods, herbicidal eradication has been the most effective and efficient, though not the most neutral politically.
What is smart crop monitoring? ›What Is Smart Crop Monitoring? Smart crop monitoring refers to the application of advanced technologies such as IoT for controlling the factors affecting the health of crops and leading to degradation in the crop production quality.
Why is it important that plant and processes are monitored? ›It identifies anomalies in the data to catch unexpected, non-repeating issues early, before they grow into serious and costly problems. With better insight into plant conditions you can optimize production, achieve operational excellence, and increase your bottom line.
What is an important part of crop management? ›Fertilization. Fertilization may be an important component of crop management. Soils should be tested for available plant nutrients before adding fertilizers to any crop. The addition of appropriate fertilizers determined from the soil and/or plant analysis can ensure the planted crop's nutritional requirement.
What are the 7 steps in developing a simulation model? ›- Determine the goals. Setting the goal is the first step to be taken. ...
- Perform an appropriate data collection. ...
- Build the model. ...
- Validate the built model. ...
- Perform simulation and collect the results. ...
- Analyze the results. ...
- Make the final documentation.
Examples of such models include the response of crop yield to fertiliser application, the relationship between leaf area and leaf size in a given plant species .
What are the crop parameters? ›Each crop is described by a set of parameters, called a 'crop parametrization'. The LINK_CROP_PARAMETRIZATION object contain a list of the crop parametrizations and additional general attributes such as the crop name, crop model, landcover to which the crop is linked and operability of the crop.
What are crop growth parameters? ›Plants' form, size, volume, weight, and other characteristics change permanently and irreversibly as they grow.
How do you calculate harvest index of a crop? ›HI was calculated according to the following formula: Harvest index (%) = Grain yield / Biological yield × 100.
What are the two most relevant sensors directly used in agriculture? ›Hence, nitrogen, phosphorus, and potassium sensors are used to monitor the soil health so that the farmers can put fertilizers whenever required, and in the right amount.
What three indicators can be used to measure growth in plants? ›
Measurements like LA, SDW (or biomass) and RGR are commonly used in research to characterize plant growth in response to changes in environment. These measurements can be quite useful in commercial systems as well.
What is the best measure of plant growth? ›The best way to measure the growth of a plant is by the use of an auxanometer. Auxanometer is a device which is used to measure the growth of a plant. In plants growth is defined when the length of roots and stems increase in size.
Which instrument is used to detect growth of plants? ›Auxanometer is the instrument with which we determine the rate of growth in plants.
What is the most accurate sensor? ›An RTD is the most accurate and stable temperature sensor and is more linear than a thermocouple or thermistor. However, RTDs are the slowest and most expensive temperature sensors. Therefore, they fit precision applications where accuracy is critical while speed and cost are less important.
Which sensor detect pests? ›Thermography sensors measure the differences in surface temperature of the plant leaves and canopy. The sensor captures infrared radiation emitted from the plant surface. If there is a pathogen infection, the plant surface temperature will increase due to the transpiration reduction.
What is the 5 category of sensor? ›There are all kinds of smart sensors, but the most commonly used ones are level sensors, electric current sensors, humidity sensors, pressure sensors, temperature sensors, proximity sensors, heat sensors, flow sensors, fluid velocity sensors, and infrared sensors.
What is 3 system farming? ›The three-field system is a regime of crop rotation in which a field is planted with one set of crops one year, a different set in the second year, and left fallow in the third year. A set of crops is rotated from one field to another.
What are the most common cropping systems? ›The traditionally used cropping systems are monoculture, intercropping, crop rotations, fallows systems/shifting cultivation, strip cropping, multiple cropping, contour strip cropping, and cover crops.
What is cash crop? ›Cash crops are agricultural crops that are planted for the purpose of selling on the market or for export to make profit, as distinguished from subsistence crops planted for the purpose of self-supply of the farmer (like livestock feeding or food for the family).
Which sensors are used to crop the environment? ›Optical sensors are used in agriculture to understand the properties of the soil and crop by the analysis of the amount of reflected light on the growing parts of the crop in real-time.
What is the best imagery to detect crop types? ›
Satellite imagery has long been used by agricultural agencies to tell what crops are grown in the field. This allows stakeholders to forecast grain supplies, assess crop damage due to environmental factors and coordinate supply-chain logistics.
What are the tools used in soil monitoring? ›Push probes, hammer probes, and bucket augers (Figure 1) are commonly used because they are capable of taking uniform samples with depth. Figure 1. Examples of soil sampling equipment: a soil push probe, hammer probe, and bucket auger. Along with a probe, a clean plastic bucket should be used.
What are 3 factors that decrease crop productivity? ›Thus, water availability, air pollution, and temperature have a large impact in agriculture [3]. Several factors pose significant risk to farms leading to yield reduction when they are not correctly monitored and well managed.
What is crop rotation the best method for control of? ›Crop rotation is an important consideration in disease management, particularly effective in controlling soil- and stubble-borne diseases. The goal of crop rotation is to reduce the amount of the pest population present in the soil.
What is a strategic crop? ›The Strategic Crop Plan process defines the strategy and goals for your overall operation, and then unlocks the full potential of each specific field. Your Strategic Crop Plan is highly detailed and includes a comprehensive step-by-step action plan.
What is precision crop monitoring? ›Crop Monitoring Technology in Precision Farming Industry Segmentation. Crop monitoring is the technology that facilitates real-time crop vegetation monitoring via., spectral analysis of high-resolution images for different fields and crops that enables to track positive and negative dynamics of crop development.
What is IoT based on crop monitoring system? ›Online crop monitoring using IOT helps the farmers to stay connected to his field from anywhere and anytime. Various sensors are used to monitor and collect information about the field conditions. Collectively the about the farm condition is sent to the farmer through GSM technology.
How does smart plant monitoring system work? ›The system framework has an appropriated microwaves (wireless) chain of moisture content in the soil through soil moisture sensor, humidity and temperature sensor set in the root zone of the plants and level of water (ultrasonic) sensor is set in tank for checking the water level in tank.
What are the four steps of the monitoring process? ›- Initiation. In this phase, the outline of the project and the steps and process it may involve is made.
- Planning. In this phase, the scope and details of the process that must be performed in the execution are made.
- Executing. ...
- Closing. ...
- Control and Monitoring.
- 1) Define a Monitoring Project Plan.
- 2) Review IT Capabilities & Requirements.
- 3) Create a Data Collection Plan.
- 4) Develop a Deployment Strategy.
- 5) Go Live with Install & Evaluation.
What is an example of process monitoring? ›
Process monitoring falls under the overall evaluation of a program. Program evaluation involves answering questions about a social program in a systematic way. Examples of social programs include school feeding programs, job training in a community and out-patient services of a community health care facility.
What are the three most important crops? ›Grains, such as corn, wheat, and rice, are the world's most popular food crops. In fact, these crops are often the basis for food staples.
What plays the most important role in crop production? ›Nitrogen is a major part of many essential substances in plant metabolism, such as amino acids, proteins, and enzymes. For this reason, nitrogen is the most important element for crop growth and development, strongly influencing germination and vegetative growth.
What is the most important crop for farmers? ›Wheat. The rundown: Wheat covers more of the earth than any other crop.
What is the significance of Dssat model for crop production? ›DSSAT models simulate growth, development and yield of crops as a function of the soil-plant-atmosphere-management dynamics. The crop models require daily weather data, soil surface and profile information, detailed crop management and crop genetic information as input.
What is crop rotation and why is it an effective pest management measure? ›Crop rotation is the practice of growing a series of different types of crops in the same area across a sequence of growing seasons. It reduces reliance on one set of nutrients, pest and weed pressure, and the probability of developing resistant pests and weeds.
What is NDVI for crop yield estimation? ›The higher the NDVI index in critical growing periods over the growing season, the greater the potential crop yield. NDVI is collected in discrete time intervals over the growing season.
How do I run a DSSAT model? ›In order to run DSSAT for the example agronomy studies, open the DSSAT Shell from your desktop icon or App. In the middle panel you find the Selector for Crops. Select the type of crop you are interested in and then the specific crop. In the panel on the right-hand side a list of one or more experiments will appear.
Which is the most important crop in terms of production value in the US? ›The largest United States crop in terms of total production is corn, the majority of which is grown in a region known as the Corn Belt.
What are the limitations of DSSAT? ›The main limitations of DSSAT relate to the included crop models. Models for only a few crops are included in the system and the models do not respond to all environmental and management factors.
What are the 4 methods of integrated pest management? ›
Pest management methods fall into four groups: cultural, mechanical, biological, and chemical.
What are the 4 principles of IPM? ›Identify pests, their hosts and beneficial organisms before taking action. Establish monitoring guidelines for each pest species. Establish an action threshold for the pest. Evaluate and implement control tactics.
What are the disadvantages of crop rotation? ›- Soil topography is prohibited from taking and growing more than one crop in a particular area.
- Crop rotation is not always advisable.
- Changing weather conditions and other accidents interfere with crop rotation.
Agremo is precision agriculture software that provides highly-precise field and crop data by analyzing data obtained from aerial imagery.
Which technique is used in precision farming? ›Precision Agriculture (PA) is comprised of near and remote sensing techniques using IoT sensors, which help to monitor crop states at multiple growth levels. PA involves the acquisition and processing of a large amount of data related to crop health.
What is the difference between smart farming and precision farming? ›What differentiates smart farming from precision agriculture is that it does not focus on precise measurements. Instead, smart farming focuses on capturing data and interpreting them using computing technologies to make farm operations more predictable and efficient.