2024
DOI: 10.22545/2024/00253
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An Improved CNN model for Identifying Tomato Leaf Diseases

DEBABRAT BHARALI

Abstract: A major loss in gross domestic product, quantity and quality of products produced, as well as tomato production, is caused by diseases in tomato leaves due to  which farmers have a difficult time in controlling and monitoring the health of tomato leaves, one of which is leaf disease. In our  project, we developed an Enhanced CNN by using data augmentation techniques to identify the seven classes(blight ,leaf curl, leaf miner ,Alteneria, leaf spot,  cutwork infected) of  tomato leaf diseases. Using 27807 traina… Show more

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