To manually add a field for further analysis, click the Add Field button at the bottom. Once you click it, the system offers three adding options: Draw polygon, Select on map and Upload fields.
1. The Draw polygon option is employed to contour and add your field to the map.
After it’s done, click the Add to my fields button and enter a name, select crop name, sowing date and season of its cultivation to the relative box. Then click Save to add a field to your Field List.
2.The Upload field instrument provides a possibility to upload files in GeoJSON, Shape or KML formats. To add the fields, hit the Select files button or drag-and-drop files to the right side of the screen.
3. To add a field to your field list, use the Select on map option. It allows picking one of the existing classified fields. Keep in mind that the ability to select one of the classified fields is available only within the territory of Ukraine.
Utilize the field right sidebar menu section to track, review or change activities related to your field with the features designed in Crop monitoring which are Edit Field, Crop rotation, Weather Today and Scouting Tasks.
You can edit your fields whenever you need by going to a three dots menu, then Edit on your Field List.
Or, Edit on the right of the field card.
The Crop Rotation section shows historical crop types growing either in the past or present. For example, there should be no sugar beet planted two years in a row to prevent crop diseases, etc. Moreover, Sowing Date is a useful record accessible on the same page. To change a date, click Edit next to your field name.
Log in every morning to follow the weather not only Temperature but also Wind, Humidity, Clouds, Pressure factors to be up-to-date e.g. you’ve planned to apply a fertilizer and it is going to rain.
In order to send a scout to the field, you should create a scouting task. This task is automatically sent to the mobile application where a scout can pick it up for further execution. To perform the action, click the Add new task button at the bottom of the Task list or assign a task through selecting one of your fields.
Drop a pointer on the area you want to inspect and the New task window pops up. It contains the preview of your field with a pointer and field coordinates. Fill in the appropriate boxes with Task name and Description and click Save. Once it’s done, the task immediately appears on your task list, as well as on the mobile application connected to your account.
Currently we use Sentinel-2 sensor and satellite images with no more than 50% cloudiness. In this way, the collected statistics includes representative selection and excludes outside factors.
Below are the most commonly used vegetation indices that are presented in Crop monitoring:
NDVI or Normalized Difference Vegetation Index
NDRE or Normalized Difference RedEdge
MSAVI or Modified Soil-Adjusted Vegetation Index
RECI (or red-edge chlorophyll index). The red-edge band is a narrow band in the vegetation reflectance spectrum between the transition of red to near infra-red.
RECI is most often used when assessing the chlorophyll content in plant leaves by multispectral data, which has an extreme red-edge channel. The red edge is a region in the red-NIR transition zone of vegetation reflectance spectrum and marks the boundary between absorption by chlorophyll in the red visible region, and scattering due to leaf internal structure in the NIR region.
NDVI, NDRE, MSAVI, RECI are indices that can be selected either from the left drop-down menu or three-dots menu on the small panel above the analytics window.
Using a small panel above the analytics window, you are able to download e.g. the NDVI map in .tiff or .shp formats. Shape format gives you the pixel-by-value NDVI at each point and TIFF format shows a regular image with the NDVI applied.
To expand the statistics to check the index of your field, use the small panel above the analytics window. Statistics can be displayed in hectares or percentage.
We do not upload satellite images with more than 50% cloudiness. When using an index, there should be no outside factors that can influence the whole picture. With this said, we consider the possibility of getting value from 50% cloudy images as a positive one. Statistics displays in ha and percentage.
Shows all images that are less than 50% cloudy. When you pick a date, you see a satellite image with an index applied for that day.
The analytics window automatically unfolds on the bottom of the screen by selecting the field.
Graphs that display a representation of NDVI (normalized difference vegetation index) are in the center of this window.
There is also the possibility of years comparison, thus you can monitor how your crop is developing compared to data collected in the past. To visualize the data for the specific date, hover over the curve.
Each curve can be disabled by clicking the corresponding colored buttons on the legend. This allows you to disable the unnecessary items and compare indices for years of interest.
To add weather data to the graph, select the required value from the Weather data drop-down list. You can add temperature, precipitation, cold and heat stress parameters.
The Cold stress option highlights the dates in Spring and Autumn when the temperature is below (-6) at which winter crops die.
The Heat stress option (the days in Spring and Summer) reflects the risks associated with drought. In such a way, when the temperature is above (+30) then the growth of the crops slows down. You can track draw down zones on plots with extreme temperatures.
Use Growth Stages to get to know what stage your crop is on right now. If not needed, you are always able to hide the curve from being displayed by clicking on the Growth Stages.
Note! You should add info about crop rotation to see growth stages of your crops.
By default, it shows one year period or the date range selected on the calendar.
If you set a date range and want to get the default year period view, click Update.