Role of Vegetation Indexing in India: Multispectral Imaging for Yield Prediction

5 Pages Posted: 18 Apr 2019

See all articles by Lalita Gupta

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

Gupta, Lalita and Tiwari, Harshvardhan and Vedula, Arti and Sharma, Suryansh, Role of Vegetation Indexing in India: Multispectral Imaging for Yield Prediction (March 19, 2019). International Journal of Computational Intelligence & IoT, Vol. 2, No. 2, 2019, Available at SSRN: https://ssrn.com/abstract=3355506

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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