Plant Leaf Disease Detection Using CNN

The existence of pests and diseases in plants and crops has a substantial impact on agricultural production within a country. Monitoring plants meticulously to detect and identify diseases is a common practice among farmers and experts. However, this approach is often laborious, costly, and not entirely reliable. To mitigate this issue, we propose a Disease Recognition Model based on leaf image classification. Our objective is to detect plant diseases using image processing techniques, specifically leveraging Convolutional Neural Networks (CNNs). CNNs are a category of artificial neural networks tailored for handling pixel-based inputs, particularly adept at image recognition tasks. Abbreviation- CNN (Convolutional Neural Network), SVM (Support Vector Machine), KNN (K Nearest Neighbour), ANN (Artificial Neural Network), GPU (Graphics processing unit)