Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

Daedong has reached a major milestone in smart farming with the completion of dealer demonstrations for its Level 4 ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

To understand why sovereign AI is critical for agriculture, we must look at the evolution of AgTech and how it is changing ...

The latest offering in this area is the public availability of artificial intelligence (AI) models for use by both households and businesses. One major difference between this innovation and those ...

The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...

On a farm in Phoenix, one person with an iPad can weed a field of vegetables that once required 20 workers on their hands and knees under a hot sun. The Duncan Family Farms employee controls the ...

The progress is shaped by incremental integration, institutional learning, and operational constraints alongside advances in ...

LOS ANGELES — When artificial intelligence-backed tractors became available to vineyards, Tom Gamble wanted to be an early adopter. He knew there would be a learning curve, but Gamble decided the ...

Necessity is the mother of invention, and farming is facing a bunch of necessities. There’s a major worker shortage. Farm land is shrinking while world population growth calls for higher food ...