Plant Leaf Disease Detection Using CNN

Plant Leaf Disease Detection Using CNN

Chandrapal Chauhan1, Assistant Professor, Department of Computer Science and Engineering, Government College of Engineering Chandrapur, Maharashtra, India.

Mohit Bele2, Ankit Dongare3, Achal Dongare4, Sakshi Nikhade5, Sakshi Salwe6.

23456, Final Year Students, Department of Computer Science and Engineering, Government college of Engineering Chandrapur, Maharashtra, India.

Abstract-

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)