Plant Disease Detection Based on Region-Based Segmentation and KNN Classifier

  • Jaskaran Singh
  • Harpreet KaurEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


The plant disease detection is the technique which can detect disease from the plant leaves. The plant disease detection has various steps which are textural feature analysis, segmentation, and classification. This research paper is based on the plant disease detection using the KNN classifier with GLCM algorithm. In the proposed method, the image is taken as input which is preprocessed, GLCM algorithm is applied for the textural feature analysis, k-means clustering is applied for the region-based segmentation, and KNN classifier is applied for the disease prediction. The proposed technique is implemented in MATLAB and simulation results show up to 97% accuracy.


SVM KNN GLCM k-means Region-based segmentation 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.ECE DepartmentChandigarh UniversityGharuanIndia
  2. 2.CSE DepartmentChandigarh UniversityGharuanIndia

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