Plant Leaf Disease Identification |
Author(s): |
| Shivani Gupta , SSTC; Mr. Bhagwaticharan Patel, SSTC |
Keywords: |
| Leaf disease, Image Pre-Processing, Feature Extraction, Dicot Plant Disease, Monocot Plant Disease |
Abstract |
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In this survey paper, we present survey on the variety of leaf disease in plants and also their classification and identification. When plants are affected by the diseases, it may affects the production as well as the economy of the country. In order to find out which disease affect the plants, the farmer need to contact the expert for the solution. The expert provide the suggestions which is based on its knowledge and information whereas sometimes searching the expert suggestion is time consuming, expensive and may be not precise. Therefore to resolve this problem, Image processing techniques provides the accurate and fast solution. Here this survey paper gives different detection and classification techniques. There are various successful detection techniques like Probabilistic Neural Network, Genetic algorithm, Artificial Neural Network, Back propagation neural network and Support vector machine (SVM). |
Other Details |
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Paper ID: IJSRDV6I10389 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 2284-2289 |
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