A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

Wheat is a staple crop for more than 40% of the world’s population, and boosting its productivity remains one of the most effective ways to combat food insecurity. Traditionally, estimating yield has ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Drone water testing: Iowa State University developed drones that collect and analyze water samples from hard-to-reach areas, aiding nitrate monitoring and conservation efforts. Biochar innovation: A ...

From predicting crop yields to optimizing water use, AI-powered tools like Google Earth Engine are helping farmers make smarter, more sustainable choices. By combining satellite imagery with advanced ...