Classification of Citrus Plant Diseases Using Deep Transfer Learning

In recent years, the field of deep learning has played an important role towards automatic detection and classification diseases in vegetables fruits. This turn helped improving quality production Citrus fruits are well known for their taste nutritional values. They one natural sources vitamin C planted worldwide. There several which severely affect yield citrus this paper, a new based technique is proposed disease classification. Two different pre-trained models have been used work. To increase size dataset image augmentation techniques used. Moreover, to improve visual images, hybrid contrast stretching adopted. addition, transfer retrain feature set enriched by using fusion. The fused optimized meta-heuristic algorithm, Whale Optimization Algorithm (WOA). selected features six plants. attains accuracy 95.7% with superior results when compared techniques.