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 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 ...

According to the UN Food and Agriculture Organization (FAO), up to 40 per cent of crops globally are lost each year to pests ...

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

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...