This versatile platform enables various stress monitoring applications, ranging from tracking plant water loss to early detection of plant pathogens.

While artificial intelligence-based plant disease detection is a powerful tool in smart agriculture, it does not allow for personalized diagnosis. A new swarm intelligence algorithm for feature ...

DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools.

Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in ...

The detection and identification of plant diseases is crucial for an appropriate and targeted application of plant protection measures in crop production. Recently, intensive research has been ...

Plant diseases don't stop at a nation's borders and miles of oceans don't prevent their spread, either. That's why plant disease surveillance, improved plant disease detection systems and ...

In such areas, smartphones offer new tools for in-field plant disease detection based on automated image recognition that can aid in large scale early detection.