Preemptive control of heavy-hitting diseases like white mold, frogeye leaf spot, Cercospora leaf blight and others is now ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

Escalating pollution and contamination of water and soil are emerging as serious threats to plant growth and its overall ...

SAS, a leader in data and AI, has announced the champions of the 2025 SAS Hackathon across 24 regional, industry, technology ...

Engineers at the University of California San Diego have developed a spray-on polymer coating that could help plants resist ...

Although microorganisms are minuscule and often difficult to detect, they serve as the invisible pillars of human social ...

A group of Georgia students from Lambert High School in Forsyth County are drawing national attention after developing what may be a faster, more precise way to detect Lyme disease. According to CBS ...

Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Artificial intelligence allows farmers to increase yields by spotting pests and diseases early — and has led to a new wave of indoor growing startups.