Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

Researchers at the University of Illinois have developed machine learning techniques that convert RGB images into multispectral and hyperspectral data.

Locked inside, away from the heat, humidity and buzz of summer cicadas, sits the future of food security. Terabytes of 1’s and 0’s on hard drives are being mined by artificial intelligence as it ...

FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...

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 ...