Machine learning techniques has emerged as a potential field in many of present day agricultural applications. One of these applications is the identification and classification of leaf diseases. In this paper, a triangular based and OTSU based methods are applied for segmentation, Textural features primarily based on GLCM are obtained for these segmented images using k-means clustering technique, further classification of different leaf disease is performed using an SVM based classification. The proposed method resulted in an overall classification accuracy of 70% using the triangular based segmentation with an AUC of 0.63.
CITATION STYLE
Arjunagi, S., & Patil, N. B. (2019). Texture based leaf disease classification using machine learning techniques. International Journal of Engineering and Advanced Technology, 9(1), 956–961. https://doi.org/10.35940/ijeat.A9446.109119
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