The integration of AI and IoT has transformed farming into a dynamic data ecosystem, where predictive insights replace ...

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 review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...

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 ...

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 ...

With AgTech, farmers have the ability to apply sensors, drones, GIS, farm-management software, robotics, machine learning and blockchain to their day-to-day work, giving them full control over their ...

When NCSA’s partner, the Center for Digital Agriculture (CDA), formed more than five years ago, it put a heavy emphasis on artificial intelligence and machine learning (AI/ML) long before chat GPT ...