Figure 4. The overview of the proposed method. (IMAGE)
Caption
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 text features with prior knowledge of plant diseases. Semantic space encoders map heterogeneous visual and textual features to different semantic spaces to achieve information interaction. Finally, the multimodal feature fusion module fuses multiple semantic features and realizes plant disease classification by using a classifier.
Credit
The authors
Usage Restrictions
Credit must be given to the creator.
License
CC BY