Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Agricultural tools powered by AI are now capable of analysing everything from historical crop data to satellite imagery and ...

Contribute to Rameshvd18/Crop-Yield-Prediction-using-Machine-Learning-main development by creating an account on GitHub.

US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more ...

A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...

Climate-Smart Agriculture (CSA) aims to enhance the productivity, resilience, and sustainability of farming systems in the face of climate variability and ...