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 ...

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

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 ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.