Farmland is simultaneously a defensive anchor against technological disruption and a sector where technology could redefine ...

Leaf Monitor, a new mobile tool backed by artificial intelligence and predictive modeling, could revolutionize how farmers ...

Using weather forecasts, satellite imagery, and pest/disease models, Dexian can build a decision support system that warns farmers before calamities, such as heat stress, pest invasion, or water ...

We're hosting this event in Germany, the home of our high-tech Fendt brand for two reasons. The first is to showcase Fendt's or AGCO's high-margin growth initiative as we globalize the full line of ...

Survey results from University of Illinois ag economists show how farmers are making corn and soybean nutrient plans for 2026 ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Leaf Monitor, a new mobile tool backed by artificial intelligence and predictive modeling, could revolutionize how farmers monitor crops and make decisions by providing real-time nutrition and leaf tr ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

An almond orchard in Parlier provides a look into the future of farming, thanks to an irrigation system that offers ...

Our research team set out to combine AI-based early pest detection methods with existing integrated pest management practices ...

The agricultural sector is under mounting pressure to meet the growing global food demand driven by population growth, ...

The project will bring together relevant expertise from Soil, Water Management and Crop Nutrition section of the Joint FAO/IAEA Centre, Anglo American Crop Nutrients, researchers, academia, extension ...