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AUTHOR(S): C. Divya, K. Senthil Kumar, R. Vasantharaj, J. Leo Stalin
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TITLE Evaluation and Implementation of Precision Agriculture using Unmanned Aerial System |
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ABSTRACT In the present scenario farmers are spraying the fertilizer and pesticides to the entire farm, since precisely identifying and classifying the unhealthy plant is tedious. The proposed research addresses the problem utilizing Unmanned Aerial System (UAS) based multispectral mapping and localization method of Precision Agriculture. This method helps to identify the unhealthy plants and initiate localized spraying of fertilizer. Multispectral map of the Tea estate is constructed and stressed plants are accurately identified using Normalized Difference Vegetation Index (NDVI) analyses and the location is Geo-tagged. These locations were taken as a reference point for spraying, thus ensuring optimized utilization of fertilizers and pesticides. The tea plants cultivated using this method are claimed as organic grade. The proposed methodology will make crop protection economical and enhance the profit margin. |
KEYWORDS Unmanned Aerial system(UAS), Multispectral Mapping, Normalized Difference Vegetation Index (NDVI), Geo-tagged, Crop protection, fertilizer spraying |
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Cite this paper C. Divya, K. Senthil Kumar, R. Vasantharaj, J. Leo Stalin. (2020) Evaluation and Implementation of Precision Agriculture using Unmanned Aerial System. International Journal of Agricultural Science, 5, 129-135 |
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