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 ...

DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools.

This versatile platform enables various stress monitoring applications, ranging from tracking plant water loss to early detection of plant pathogens.

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&#39 ...