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 ...

Researchers from the Hebrew University of Jerusalem have developed an innovative method for the early detection of Fusarium wilt in tomato plants by monitoring subtle changes in the plants' water use.