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

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 ...

New microneedle technique speeds plant disease detection Date: June 10, 2019 Source: North Carolina State University Summary: Researchers have developed a new technique that uses microneedle ...

Additionally, a comprehensive literature review about the use of hyperspectral sensors on these different scales for plant disease detection reflects the possibilities of non-invasive measurement ...

Researchers have developed a new technique that uses microneedle patches to collect DNA from plant tissues in one minute, rather than the hours needed for conventional techniques.

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 ...