Overview AI in agriculture is revolutionizing farming through precision, automation, and sustainability.Data-driven insights ...

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 ...

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 ...

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.

Kenya has secured the 8th spot in Africa and 93rd place globally in the 2024 Oxford Insights Government AI Readiness Index, ...

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.

The future of economic growth isn't just about profit—it's about people, planet, and purpose working in harmony.

The University of Florida is planting the seeds for Tampa Bay to become a major hub for agricultural technology.