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 ...

UIUC's platform, christened Stomata In-Sight, combines laser scanning confocal microscopy, gas exchange instruments and ...

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

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

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

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

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

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

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

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...

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