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@article{203810,
        author = {Sarthak Kumar Singh and Shivam Bhardwaj},
        title = {Plant Disease Detection App Using Machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {541-546},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203810},
        abstract = {Plant diseases cause great reduction in agricultural production which in turn affects food security and farmers’ income. It is of great importance to detect them early and with precision to reduce crop damage and at the same time improve product quality. We present a machine learning based solution for the detection of plant diseases which we have implemented via Convolutional Neural Networks (CNN). The put forth system does image acquisition, preprocessing, feature extraction and classification which in turn leads to accurate identification of plant diseases. We used the Plant Village data set for our experiments which we report to perform better than do traditional machine learning methods. Also, we have developed the system as a web-based application which enables real time disease diagnosis in the field.},
        keywords = {Plant Disease Detection, Machine Learning, Deep Learning, Convolutional Neural Networks, Agriculture, Image Processing},
        month = {June},
        }