Plant Disease Detection Using Image Processing
Date
2019-08-31
Student ID
Research Supervisor
Editor
Journal Title
Volume
Issue
Journal Title
Journal ISSN
Volume Title
Abstract
Agricultural productivity highly required on a global economy scale. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. Lack of care in this department will cause serious issues on plants for which respective product quality, quantity or productivity is affected. In this project, we have build an android application that can identify plant disease. Most of the plant have symptoms of any disease on its plant. Our application also has been developed based on dataset of plant leaf. This application will detect the disease on the plant and also suggest proper treatment for that disease. Various image processing and recognition technique has been used. Neural network has been introduced for getting satisfactory level of accuracy. Plant disease identification by visual way is more laborious task and at the same time, less accurate and can be done only in limited areas. Whereas if automatic detection technique is used it will take less effort, less time and become more accurate. In plants, some general diseases seen are brown and yellow spots, early and late scorch, and others are fungal, viral and bacterial diseases. Image processing is used for measuring affected area of disease and to determine the difference in the color of the affected area. Automatic detection of plant disease is beneficial as it reduces a huge task of monitoring in big farms of crops, can detect the symptoms of diseases at an early stage i.e. when they appear on plant leaves.
Description
Keywords
Citation
Department Name
Electrical and Computer Engineering
Publisher
North South University