Open AccessLeaf Disease Detection
Author(s) -
R. Manikandan
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11722
Subject(s) - python (programming language) , agriculture , disease , convolutional neural network , plant disease , computer science , rural area , image processing , artificial intelligence , biology , image (mathematics) , microbiology and biotechnology , medicine , ecology , pathology , operating system
Leaf disease detection is the process that help the users to detect the disease of the plant leafs. It is not only useful for farmers but also useful for plant researchers.Now a days agriculture wealth has been increased in each and every country particularly the agricultural strength in main in rural areas. But the technology hasn‟t inproved in rural area so people over there certainly not educated about plant disease. That causes heavy loss of plants and some of the disease can pass through one plant to another. That cause aheavy loss of plant as it gives a great loss for farmers. But we can prevent them by using this application. The primary obejective of this project to identify and detect the leaf disease from leaf image data using image processing approach, which is implemented using python. To perform this task, this work used convolution Neural network(CNN) algorithm for identify the leaf disease based on their unique physi3al shapes through geometric feather and venation architectures.Both real time and live detection of disease is done for the leafsamples.