Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, and advancing ...

MINNEAPOLIS / ST. PAUL (04/28/2022)—A team of researchers led by the University of Minnesota has significantly improved the performance of numerical predictions for agricultural nitrous oxide ...

The growing generative AI in agriculture market offers opportunities through AI-driven yield predictions, localized advisory ...

Learn how the LaserWeeder’s advanced computer vision system and AI deep learning models promote sustainable agricultural practices while differentiating weeds from crops in real-time. In this second ...

Agricultural scientists are accelerating discoveries with artificial intelligence to move toward more sustainable and ...

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...

Starting with a somewhat skeleton model, the Mineral team developed a solar-powered plant Rover that fits various row widths and captures up to a terabyte of image data each day, using advanced ...

Supercomputers and artificial intelligence aren't typically thought to go with animal science, but they are among the tools for a relatively new field of science called bioinformatics that can be used ...

Manchester researchers use AI and satellite imagery to map irrigation in Ghana. Their findings will guide technologies and services to strengthen water resilience, boost food security and improve ...

The government is embracing advanced technologies like machine learning and satellite imagery to transform the agriculture sector, with a strong focus on engaging youth and improving efficiency, ...