Rows of corn stretch like green walls toward the horizon on a warm Iowa July morning. For generations, farmers have listened ...

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 ...

The increasing global demand for staple crops, projected to rise by 60% by 2050, is a pressing issue intensified by population growth, income increases, and biofuel usage. To meet this demand ...

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 ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...