New digital “twin” farms use AI, drones, and sensors to help growers avoid costly mistakes and make smarter crop decisions ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Research out of the University of Illinois is creating an artificial intelligence platform for farmers. “Nobody writes on a ...

Transboundary crop diseases are spreading faster than ever, threatening food security and the livelihoods of millions of farmers worldwide. Climate variability, expanding international trade and the ...

Abstract: Crop yield prediction is important for global food security, sustainable farming, and efficient resource management in agriculture. Inaccuracy and inherent opacity are the main issue for ...

Working to maximize yields in 2026. In this episode of Managing for Profit, Syngenta agronomist Jami Loecker says creating a proactive crop management plan could help growers mitigate risk.

Abstract: This paper presents a smart system designed for crop prediction using machine learning. It helps farmers to choose the best crops based on soil parameters like moisture, $\mathbf{p H}$, and ...

If you click on links we provide, we may receive compensation. Recreate her “high-low” outfit formula with these tops and trousers By Jeaneen Russell Shopping writer Jeaneen Russell tracks celebrity ...