Plant Disease Detection using Image Processing |
Author(s): |
| P. U. Chati , P.C.E, NAGPUR; Bhagyalaxmi Gajbhiye, PRIYADARSHINI COLLEGE OF ENGINEERING; Meghana Meshram, PRIYADARSHINI COLLEGE OF ENGINEERING; Ujwala Bhasakhetre, PRIYADARSHINI COLLEGE OF ENGINEERING; Akshay Lambat, PRIYADARSHINI COLLEGE OF ENGINEERING |
Keywords: |
| Leaf Disease, Image Processing, CIELAB Color Model, SGDM Matrix, Color Co-occurrence Method, k-Medoids, Neural Network |
Abstract |
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In this project we had used image processing and neural network. Digital image processing is the use of computer algorithms to perform image processing on digital images. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. The neural network is theoretical concept comes from the neurons from brain which transmit data is the form of nodes and forming a network of data which give a great accuracy. |
Other Details |
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Paper ID: IJSRDV6I21126 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 1316-1318 |
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