If you're looking for a platform that uses satellite data to monitor crop health and predict yields for sustainable agriculture practices, EOSDA could be a great option. This geospatial data analytics platform uses satellite imagery and machine learning algorithms to give insights for decision-making in agriculture. It provides tools like crop monitoring, yield forecasting, soil moisture analysis and carbon modeling. EOSDA also works with clients like Complete Farmer and the Georgian Farmers Association, with custom pricing arrangements.
Another good option is Cropwise, a digital platform that combines a range of services to help optimize farm operations and improve crop performance. It includes apps for real-time field monitoring, crop health monitoring and personalized seed recommendations. Cropwise has helped farmers around the world cut rework, increase yields and improve sustainability performance, so it's a good option for data-driven decision making in agriculture.
Agromonitoring offers a full precision farming service based on satellite and weather data. It includes products like Agro API for data integration into projects, Agro Dashboard for field monitoring and Agro Analytics for detailed crop condition analysis. The service offers current satellite imagery updates and historical archives, so it's good for farmers and agricultural companies that need crop management data.
If you're looking for something more general purpose, Nearmap offers a location intelligence platform with high-resolution imagery, 3D modeling and AI predictions. It's geared for urban planning and environmental monitoring, but Nearmap's near-infrared imagery can be used for crop health monitoring and yield prediction. It's designed to help businesses and governments make better decisions.