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 ...

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 ...

Transboundary crop diseases are spreading faster than ever, threatening food security and the livelihoods of millions of farmers worldwide. Climate variability, expanding international trade and the ...