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 ...

Two new projects are advancing rice breeding strategies to improve productivity of main and ratoon crops, and health benefits of purple rice.

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 ...

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For four days this past week, more than 100 crop scouts sampled 2,000 to 3,000 fields in seven Midwest states as part of the one-of-a-kind Pro Farmer Crop Tour. Building on the boots-on-the-ground ...