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@article{150344,
        author = {Ashutosh Bhawsar and Jayesh Suryavanshi and Devashish Katoriya},
        title = {AYURVEDIC HERB DETECTION USING COMPUTER VISION},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {5},
        pages = {29-32},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150344},
        abstract = {About 40% of land in India is under forest cover. India has many biologically important forests with abundant flora and fauna. All medicines that we use today have been derived from plants and herbs found in our surroundings. However, most of the medicinal herbs remain undetected due to a lack of information among the masses. Plants’ leaves have eclectic shapes, colors, sizes, and medicinal uses accordingly. By performing contour formation, canny edge detection, and computer vision, we can identify as well as differentiate between medicinal plants which, according to Ayurveda, can cure various diseases. The application of proposed system can be found in places where modern medicines are not at users’ disposal. Even botanists and pharmacognosists can make use of this system for discovering and learning about the ayurvedic use of certain plants},
        keywords = {computer vision, contour formation, canny edge detection, herb classification, gaussian blurring.},
        month = {},
        }