The integration of machine learning with intelligent sensing tools enables high-accuracy state perception. This allows machines to interpret data on seedling health, soil condition, and crop readiness ...

Agriculture has always been the backbone of human civilization, providing the sustenance needed to support societies and ...

The integration of AGI with LEO satellite tech is set to revolutionize agriculture in ways that seemed like science fiction a ...

Artificial intelligence could soon be headed to a farm near you, at least according to several panelists at this year’s ...

Transforming Indian agriculture with AI and satellite intelligence to empower farmers, increase yields, and ensure ...

AI in agriculture started with precision farming, using sensors and data to optimize inputs like water, fertilizer and light. At Farm-Ed, we’ve taken it further by blending AI with education.

AI, as employed in precision agriculture, typically involves the subset of AI known as machine learning (ML). In its simplest distillation, ML is about pattern recognition.

By incorporating AI, robotics and vertically stacked crops and controlled environmental conditions, the vertical farming model might be a game changer in the agriculture sector.

A majority of agriculture industry players—87 percent—are using AI, up from 84 percent in 2019, according to a report from RELX, a British information technology group. Dennis Buckmaster, dean’s ...

The rise of generative AI in agriculture, energy and rural sectors is both exciting and challenging, but a human-first approach ensures that AI enhances rather than replaces human expertise.

AI can help farmers make better decisions about how to spend their time and resources, according to Kent Shannon, co-director of the center. The center is exploring ways to train AI for agricultural ...