Machine failures in agriculture can threaten the harvest and livelihoods. Smart sensors and AI-powered maintenance are ...

The integration of AI and IoT has transformed farming into a dynamic data ecosystem, where predictive insights replace reactive management. Yet, as the authors observe, progress has been uneven across ...

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 ...

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 ...

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 ...

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 ...

DELRAY BEACH, Fla., Nov. 7, 2025 /PRNewswire/ -- According to MarketsandMarkets™, The agricultural robots market is estimated ...

With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...