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

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.

As more models using AI algorithms and medical imaging data are developed, more of these can be programmed into these small, cost-effective, low-power, programmable, adaptive embedded SoC devices with ...

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.

Using computer vision models trained on 100,000+ plant images, Nuru identifies diseases like maize lethal necrosis and cassava brown streak with 98% accuracy, delivering advice in Swahili and English.

By amassing a huge library of leaf images, scientists are training computers to diagnose the diseases that threaten our food supply.