Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in accurately ...

Researchers from the Hebrew University of Jerusalem have developed an innovative method for the early detection of Fusarium wilt in tomato plants by monitoring subtle changes in the plants' water use.

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

AlphaFold has been used to predict how targeted immune receptor engineering could lead to increased disease resistance in plants. Scientists at the University of California, Davis (CA, USA), have ...

Maybe monsoon season is over and maybe not, but one thing we know for sure — with all this water and heat, we will be in the midst of a perfect storm for fungal diseases on our plants, especially ...