Researchers from North Carolina State University have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens, such as viral and fungal ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

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 accurately ...

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 predictive ...