An international research group has developed a new way to estimate photosynthetically active radiation (PAR) and predict the crop yield in agrivoltaic projects. “We have re-parameterized and ...

A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

Varanasi: In a step toward transforming rice–potato cropping systems into more sustainable and climate-resilient models, the International Rice Resear.

New research from Michigan State University, led by agricultural systems scientist Bruno Basso, addresses a major problem in agricultural carbon markets: how to set an accurate starting point, or ...

To arrive at figures on crop yield, the researchers used the decision support system for agrotechnology transfer (DSSAT) cropping system model and selected cabbage as a crop that could be grown at ...