Role of Vegetation Indexing in India: Multispectral Imaging for Yield Prediction
5 Pages Posted: 18 Apr 2019
Lalita Gupta
Maulana Azad National Institute of Technology (MANIT), Bhopal
Harshvardhan Tiwari
Maulana Azad National Institute of Technology (MANIT), Students
Arti Vedula
Maulana Azad National Institute of Technology (MANIT), Students
Suryansh Sharma
Maulana Azad National Institute of Technology (MANIT), Students
Date Written: March 19, 2019
Abstract
Multi spectral imaging, in an Indian context, can be construed in a manner so as to help with predictive analysis in ascertaining crop health of agrarian land. The aim of this paper is to explore techniques for the same with the usage of spectral imaging pertaining to a Raspberry Pi setup as an affordable alternative as well as studying the consequences of mechanization in the primary sector. With a major focus lying in predictive analysis as well as relief efforts geared towards farmers, Vegetation Indices have been used as the defining factors of plant health.
Keywords: Vegetation Index, NDVI, Remote Sensing, Internet of Things (IoT), Predictive Analysis
Suggested Citation: Suggested Citation
Lalita Gupta (Contact Author)
Maulana Azad National Institute of Technology (MANIT), Bhopal ( email )
Near New Market
Near Mata Mandir
Bhopal, IN Madhya Pradesh 462003
India
Harshvardhan Tiwari
Maulana Azad National Institute of Technology (MANIT), Students ( email )
Bhopal
India
Arti Vedula
Maulana Azad National Institute of Technology (MANIT), Students ( email )
Bhopal
India
Suryansh Sharma
Maulana Azad National Institute of Technology (MANIT), Students ( email )
Bhopal
India
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