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 ...

Climate change, extreme weather events, unprecedented records in temperatures and higher, acidic oceans make it difficult to predict the long-term fate of modern crop varieties. “With these kinds of ...

Predictability in agriculture is about as hard to find as a needle in a haystack. When you’re trying to prevent pest and disease pressures from devastating your yield, your approach to crop management ...

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

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 ...