Measurement of Leaf Spot Disease Severity in Turmeric Plant
Keywords:Colletotrichum capsici, Histogram, Image enhancement, K-means clustering, Segmentation, Texture
Digital Image Processing (DIP) applications in agriculture sector is becoming popular because of its fast, cost-effective and accurate solutions related to diseases and marketing. The hands-on solutions are being provided through various applications. Leaf Sopot disease has become the major constraint in the turmeric cultivation in India. Colletotrichum capsici is a fungal disease commonly known as leaf Spot. The brown spots of 4-5 cm length and 2-3 cm width with a grey centre are found on either surface of the leaves. If not treated timely, it causes the heavy loss in terms of quality and quantity. This paper proposes the methodology using Image Processing for measuring the severity of this disease in plant pathology. The image acquisition of infected leaves is done in the first stage then the images are pre-processed. Histogram is used for colour feature extraction The Edge detection methodology is used for infected area measurement and the results are fed to disease classifier to identify the stage of disease. This helps the plant pathologist in preparing consultative module to eradicate the disease completely.
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Copyright (c) 2020 Manjula R. Chougala, A. C. Ramachandra
This work is licensed under a Creative Commons Attribution 4.0 International License.