Publication Date: 2021/02/26
Abstract: With the ever increasing demand for food, the need for efficient management of agricultural practices is the need of the hour. Through the use of modern technology, every passing day has seen a surge in the amount of new techniques to improve agricultural management. One such method is through the use of Computer Vision practices which can be used to determine the optimal strategy for agricultural management like analyzing the best nutrition requirement for the soil, finding an optimal time and location to plant crops or spray fertilizers, herbicides and other such crop yield enhancers. Computer Vision practices can also be used to keep pests under control through detection and elimination of pests via a practice called Precision Agriculture. This paper discusses the image processing output from the Davangere region in detail, where the output has been developed through Remote Sensing operations. The output is then analyzed to provide optimal strategy for paddy fields.
Keywords: Precision Agriculture (PA), Remote Sensing, NDWI (Normalized Difference Water Index),NDVI (Normalized Difference Vegetative Indexes), NDBI (Normalized Difference Built Index) and SAVI (Soil Adjusted Vegetation Index)
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21FEB383.pdf
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