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DETECTION OF PLANT LEAF DISEASES USING RANDOM FOREST CLASSIFIER

  • Unique Paper ID: 155613
  • Volume: 9
  • Issue: 1
  • PageNo: 1300-1302
  • 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.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 1300-1302

DETECTION OF PLANT LEAF DISEASES USING RANDOM FOREST CLASSIFIER

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