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

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

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

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

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

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

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Global alert map: 9.3% of the earth is an outbreak hotspot; Latin America and Oceania have high disease risk and low health ...

Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...

Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...