At the final of the 2nd Hubei Agricultural Machinery Innovation Design Competition held in Jingmen City, 30 pieces of agricultural machinery focusing on intelligence, efficiency, and sustainability ...

Managing agricultural land can often be very challenging due to its size and scale. Manual inspections, therefore, become very labor and cost-intensive. Crop disease is one task that is typically ...

AMES, Iowa – A gardener hoping for a crop of the juiciest summer tomatoes might tend to each and every plant in a plot. But a farmer working to feed the world? Researchers believe that may be possible ...

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 ...

Machine learning is an increasingly prevalent buzzword in the media. Its applications in science and the private sector are frequently discussed—but what about global development? Can it also help ...

IoT-enabled Agricultural (IoTAg) monitoring is smart, connected agriculture's fastest-growing technology segment projected to reach $4.5 billion by 2025, according to PwC. Global spending on smart, ...

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 ...

OMAHA, Neb.--(BUSINESS WIRE)--Valmont Industries, Inc. (NYSE: VMI), a leading global provider of engineered products and services for infrastructure and irrigation equipment and services for ...

Researchers at the Yale School of the Environment published a study “Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and ...