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 ...

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

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Google’s X “moonshot factory” this week announced its latest graduate. Heritable Agriculture is a data- and machine learning-driven startup aiming to improve how crops are grown. As the firm noted in ...