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 ...

Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they ...

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

A Kansas State University agronomy professor is part of an international team that is calling for a new approach to estimate crop yield potential and gaps – information that is critical in planning ...

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 ...