Detect more rapidly and precisely anomalies in your plots and direct your field actions.
Anomaly detection in crop parcels
Monitor the growth of your crops
Monitor the growth of your crops from seeding to harvesting.
Detect anomalies to drive field based actions
Be notified to anomalies on your plots to act quickly and efficiently.
Visualize the vigor and heterogeneity of each plot
View all your data through a single platform.
A simplified access to useful indicators for the monitoring and the characterization of crop development
Follow the growth of your crops from the date of sowing until harvest on the CropEO web platform or from your usual management platform. The vigor and heterogeneity of each plot are assessed using maps, graphs and indicators. This analysis helps decision-making in the field and allows complementary management with the actions of the technicians.
CropEO benefits from the expertise acquired by TerraNIS in the processing of Earth Observation images to offer robust and reliable monitoring indicators. We calculate the biophysical parameter fCover in order to determine and spatialize the development of the cover. Treatments specific to your crops can be defined to guarantee the quality of the products delivered.
Formats adapted to your use
A web application
accessible via an online graphic interfaceUne application
The web interface allows you to analyse the crop development and easily and rapidly identify anomalies.
4 functionalities are available:
- Assess the vegetative development of crops from the date of sowing
- Analyze the development of your crops using your historical references.
- Characterize heterogeneities within cultures.
- Compare the vegetative development of your plots for the same campaign
An API
to integrate the data directly in your applications
Thanks to the CropEO API, it is possible to access several services:
- Access the data stored on the server
- Add or modify the data on the server
- Delete certain data
Overview of monitoring of crop developement and anomaly detection through a historic and intraparcellar comparison.