Actually, I am working these field. Sometimes I don't understand what should I do. If anyone supervise me, I will be thankful.

I have a dataset of rice leaf for training and testing in machine learning. Here is the link: https://data.mendeley.com/datasets/znsxdctwtt/1

I want to develop my project with these techniques;

  • RGB Image Acquisition & Preprocessing (HSV Conversation, Thresholding and Masking)
  • Image Segmentation(GLCM matrices, Wavelets(DWT))
  • Classifications (SVM, CNN ,KNN, Random Forest)
  • Results with Matlab Codings.
    • But I have a confusion for final scores for confusion matrices. So I need any technique to check which extraction method is good for dataset.
    • My main target is detection normal and abnormal(disease) leaf with labels.

    Attached image is collected from a paper.

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