AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

An unusually mild winter followed by a wet spring made last year one of the worst in a decade for Pennsylvania soybean ...

Key market opportunities in AI agriculture: integrated tech for productivity, adaptive procurement, enhanced robotics, ...

Explore how Xoople’s EarthAI turns satellite and geospatial data into AI ready Earth intelligence, why its $130 million ...

Farms are becoming net-energy positive. Biogas, solar, renewable fuels and carbon markets are transforming agricultural waste ...

Climate-smart agriculture (CSA) is a focal point in agricultural and climate policies, with key goals including mitigating greenhouse gas (GHG) emissions, ...

Designing climate policies is one of the most difficult challenges in governance today. It demands that governments strike a ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

FS crop specialists can leverage the AI agent's data analysis capabilities to guide farmer customers on hybrid placement, fungicide and nitrogen decisions, and other crop management practices. -- ...

Making wheat more resilient to climate change without compromising yields has become an urgent priority for the agricultural ...

Artificial Intelligence tools are at our fingertips and are amazingly efficient at what they do. Let me give you a few ...