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.

Rugged hardware and no-code AI empower industrial teams to deploy intelligence where operations run. JACKSONVILE, FL, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Velasea ( a leading OEM system ...

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

By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

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

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

The most-visited transportation post of the year focused on the United States’s efforts to rebuild a domestic supply of neodymium-iron-boron (NdFeB) magnets—critical components for EVs, wind turbines, ...