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 ...

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

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 ...

The J.R. Simplot Co. has filed a patent for a method to determine crop yield. The method involves receiving yield data from multiple harvester machines and determining the primary harvester machine ...

August is typically the month when we get the first producer survey yield estimates from USDA, as well as yield projections from major private firms. This yield data is gathered in different formats ...