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 ...

Artificial intelligence is revolutionizing organic farming by enabling farmers to optimize crop yields, reduce input costs, ...

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

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 ...

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 ...

Sentinel-2 multispectral satellite imagery has been used to spot sugarcane disease well before it would normally reveal itself.

Explore sustainable agriculture: a farming approach prioritizing environmental health, food security, and social equity.

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 ...

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 ...