LEAF DISEASE DETECTION AND DISEASE IDENTIFICATION USING ARTIFICIAL DEEP LEARNING NEURAL NETWORKJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 9)
Publication Date: 2019-09-30
Authors : S.Dhivya; R.Shanmugavadivu;
Page : 18-23
Keywords : Plant disease; Neural network; classification; multilayer perception; Back propagation;
Plant disease analysis is to identify the percentage and the exact location of plant diseases caused by viruses, fungi and bacteria. When one part of the leaf is affected by disease and another part is also affected as soon. In our work, identifying the disease spot at early stages, the growth level of the diseases. The classification is one of the most energetic research and relevance area of neural network. Multilayer perception is used to classify the leaf diseases and the back propagation algorithm is used to calculate the disease spot by total area of the leaf. Implementation has been done by using MATLAB 2017a simulation tool which generates better result for clustering algorithm.
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Last modified: 2019-09-11 21:16:52