Vision-based strawberry plant assessments are essential first steps towards increased automation, mitigating periodically ...

A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...

Abiotic stress physiology is a critical field within plant science, particularly as climate change and environmental ...

EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

Prof. Dr. Holger Boche, head of the 6G-life initiative, and Prof. Dr. Wolfgang Kellerer, head of the 6G Future Lab Bavaria, in the soundproofed laboratory.

TEGUAR and SORBA.ai Announce Strategic Hardware Partnership to Accelerate On-Prem Industrial AI Deployment in Critical Environments JACKSONVILLE, FL, UNITED STATES, January 5, 2026 /EINPresswire.com/ ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.