DETECTION OF PLANT LEAF DISEASES USING RANDOM FOREST CLASSIFIER

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

DETECTION OF PLANT LEAF DISEASES USING RANDOM FOREST CLASSIFIER
Author(s):
N. Srinivasa Gupta, P, Venkata ramana, M. Anusha Triveni, V. Sai Harika, P. Bhanu Prasad
Keywords:
Image Processing, random Forest Classifier, MATLAB.
Abstract
Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e., when they appear on plant leaves. This project presents an algorithm which is used for automatic detection and classification of plant leaf diseases. It also covers survey on different diseases classification techniques that can be used for plant leaf disease detection. Feature extraction which is an important aspect for disease detection in plant leaf disease and GLCM features are extracted and clustering is done. SVM and Random Forest classifier is used to identify the and the results are compared. The experimental results are evaluated using MATLAB tool.
Article Details
Unique Paper ID: 155613 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 1300 - 1302
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