Deep Learning Technique Used for Tomato and Potato Plant Leaf Disease Classification and Detection

Humans' primary resource is food, hence protecting and caring for the plants should be given first importance. Increases in crop leaf disease are turning into a serious issue for agriculture. In order to stop the illness from spreading between plants, it must be treated quickly. Crop leaf disease will be detected using modern technologies. Crop leaf diseases were easier to identify thanks to deep learning technologies. The training dataset is openly accessible. Up to 15 illnesses can be classified by the trained model. The preparation training accuracy was 97.35%, which is more than sufficient to identify illness. The suggested technology can more accurately identify crop leaf disease, which may be used to identify the illness in the real world.

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