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 ...

Agriculture has always depended on careful planning, observation, and timing, but today’s farmers have access to far more ...

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 ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

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 ...

Recent research highlights how artificial intelligence, IoT, and geospatial technologies are revolutionizing agriculture, from precision crop and livestock monitoring to automated pest control. These ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Illinois farmers are increasingly using AI-equipped drones to monitor crop health, detect pests, and predict yields, integrating advanced imagery and data analytics into daily operations. This shift ...

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 ...

A satellite silently travels 475 kilometers across a patchwork of wheat fields in northern India’s Punjab. The precise way ...