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

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

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

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

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

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

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Vineyards in the U.S. and Europe are testing robots for disease monitoring and treatment amid climate stress and labor ...

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

As the industry continues to face rising fire incidents and insurance challenges, operators are rethinking how they manage ...