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@article{143654,
        author = {Zareen Tamboli and Ms.Aishwarya Godse and Ms.Ashwini Jadhav and Ms.Vrushali Patil},
        title = {Cotton diseases detection using image processing },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {270-273},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143654},
        abstract = {This project presents an approach for careful detection of diseases, diagnosis and timely handling to prevent the crops from heavy losses. So for the study of interest is the leaf rather than whole cotton plant because about 85-95 % of diseases occurred on the cotton leaves like Alternaria, Cercospora and Red Leaf Spot.Image processing technique is used for detecting diseases on cotton leaves early and accurately. It is used to analyze the cotton diseases which will be useful to farmers.K-mean clustering method is used in our project for accurate detection of cotton leaves.The purpose behind use of this method is it gives more accurate result as compare to other methods with less execution time.the accuracy of K-mean clustering is 89.56%.},
        keywords = {Classification, Diagnosis, Diseases,  K-mean Clustering Algorithm.},
        month = {},
        }