This project will generate new geocoded soil data and leverage the transformative potential of artificial intelligence to provide an estimate and an indicator of soil health.
This project will build a platform with location-based information on when and where which products are sown and harvested by local farmers to avoid temporal overflows of local markets with certain goods and ensure a more continuous and balanced flow of seeding and harvesting throughout the year.
This innovation will explore how data at different scales can be collected, validated and used to provide a near real-time prediction of livestock numbers in a specific location.
This innovation will generate locally-relevant farmer advice that incorporates climatic variability and diversity of land management approaches within rice-dominant landscapes.
This project will build an artificial intelligence next-day rain forecast to drive better decision-making and results on and off the farm.