Classification of Various Diseases Affecting Apple, Cherry, and Peach Plants using Modified VGGNet19 Architecture

Food is a vital need for humans. Diseases in plants pose a threat to the availability of food to everyone and it is an important task to identify these diseases immediately so that the growth of the crop remains unaffected. Earlier, the identification of disease was a tedious and manual task. But after the advancements in the domain of artificial intelligence, this task is capable of automation with the use of neural networks. With a public dataset of 6349 images, an attempt has been made to classify diseases in apple, cherry, and peach leaves with an accuracy of 99.76%. The trained algorithm has potential to further detect as well as classify disease in other crops as well by expanding the dataset. Thus, the use of neural networks is becoming a reliable source for quick plus precise identification as well as classification of diseases in plants.