PUBLICATION | 16 Mar 2026 Examining the role of agroecology in food security prediction: evidence from Burkina Faso using machine learning methods Background Food insecurity affects a large proportion of the world's population, with enormous disparities to the disadvantage of low-income countries, especially those in sub-Saharan Africa. In this context, public decision-makers... PUBLICATION | 13 Mar 2026 Farm-level yield prediction for maize, rice, and beans in Tanzania using machine learning and multi-source agricultural data Accurate predictions of crop yields at the farm level are essential for improving agricultural productivity, enhancing food security, and supporting informed decision-making among smallholder farmers... PUBLICATION | 05 Mar 2026 Desert Locust Bulletin No. 568More
PUBLICATION | 13 Mar 2026 Farm-level yield prediction for maize, rice, and beans in Tanzania using machine learning and multi-source agricultural data Accurate predictions of crop yields at the farm level are essential for improving agricultural productivity, enhancing food security, and supporting informed decision-making among smallholder farmers... PUBLICATION | 05 Mar 2026 Desert Locust Bulletin No. 568