CGIAR works with partners in six major regions to jointly address challenges to food, land, and water systems.
More information about CGIARDigital twins (DTs) are virtual replicas of physical systems that stay synchronized with real-world. In agriculture, water, and environmental...
Forty-one years of data from the Elite Spring Wheat Yield Trials (ESWYT), including average yield and phenological information at the site-year-OCC...
Vision2Biomass is an AI-driven approach for quantifying crop residue retention in paddy fields to support digital Monitoring, Reporting, and...
Soil health information is essential for improving crop productivity, fertilizer use efficiency, and sustainable land management. However, soil data...
Over the past thirty years, Indian agriculture has undergone a profound digital transformation—evolving from early ICT experiments in the 1990s to...
This project builds on previous work where an earlier study sought to establish proof of concept on how speech recognition, along with natural...
ICRISAT organized an AI sensitization training session on September 2, 2025, to build awareness and strengthen institutional capacity in Artificial...
Smallholder maize systems in Western Kenya face chronic nutrient depletion, widespread soil acidity, and increasing seasonal rainfall variability....
