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Crop Health Detection Using Multispectral Images

Published On: March, 2021

Article Type: Research Article

Journal: Gradiva Review Journal

DOI: 10.37897.GRJ.2021.V7I5.21.164

Issue: 5 | Volume: 7 | Page No: 150-156

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Abstract

Increasing human-led exploitation of natural resources and climatic changes have put the biodiversity of India under severe threat. This made the use of appropriate technologies necessary to formulate effective and sustainable management practices. The proper care should be taken to avoid serious effects on crops and due to which corresponding product quality, quantity, or productivity is affected. Health monitoring and disease detection on crops are very critical for sustainable agriculture. It is very difficult to monitor plant health manually. In this regard, remote sensing and geographic information system (GIS) play an important role in the field of conservation. The study aims to detect the health of crops with the help of Multi-spectral LANDSAT images using NDVI value. NDVI values has been used to examine the spatial distribution such as water bodies, built-up area, vegetation and dense vegetation. Hence, QGIS open source software has been used for image processing to detect crop health.

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