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@article{146870,
        author = {S.INDHUMALINI and S.SABARINATHAN and M.PRASANTH and K.SABEKA and S.SIVAPAKASAM},
        title = {IDENTIFICATION AND RECTIFICATION OF HEMORRHAGE PLANTS USING MULTISPECTRAL CAMERA},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {2},
        pages = {525-528},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146870},
        abstract = {Plant diseases are responsible for the major losses in the agricultural industry across the world. Monitoring the plant’s health and detecting the pathogen early are important to reduce the disease. The main objective of this paper is to detect plant disease early with the help of drones and immediately pesticide is being sprayed in that particular area. The drone which we use will have multispectral cameras .It can capture the invisible light such as near infrared rays produced by plants of electromagnetic spectrum. The reflected light what we have received classifies the plants into healthy vegetation and stressed vegetation. Multispectral camera uses Multispectral imaging technique to find out vegetation index.},
        keywords = {Multispectral imaging, Normalized vegetation index, Healthy vegetation, Near infrared rays , Stressed vegetation.

},
        month = {},
        }