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.

Ralstonia solanacearum in a potato plant. The bacterium destroys the vascular system in plants, causing them to succumb to wilt disease. (Credit: Amilcar Sanchez) Scientists at the University of ...

Description: PlantVillage, initiated by Penn State University in 2018 with USAID funding, equips Kenyan smallholder farmers with Nuru, an AI-powered app for crop disease detection. Using computer ...