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 ...

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

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

UIUC's platform, christened Stomata In-Sight, combines laser scanning confocal microscopy, gas exchange instruments and machine-learning image analysis, to simultaneously observe anatomical ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

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

In this week’s edition of The Prototype, we look at building a virtual fusion power plant, a major quantum breakthrough, AI ...

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 ...

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

The paper shows how artificial intelligence can transform wastewater treatment by making plants smarter, more ...

Latin America and Oceania emerge as the most exposed regions, with many nations lacking detection and containment capacity, ...

England is expanding wastewater surveillance to detect virus outbreaks early, giving hospitals more time to respond before ...