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A Technical Assessment of IOT for Indian Agriculture Sector

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IJCA Proceedings on National Symposium on Modern Information and Communication Technologies for Digital India
© 2016 by IJCA Journal
MICTDI 2016 - Number 1
Year of Publication: 2016
Authors:
Deepak Sharma
A. K. Shukla
Amol P. Bhondekar
C. Ghanshyam
Amritesh Ojha

Deepak Sharma, A K Shukla, Amol P Bhondekar, C Ghanshyam and Amritesh Ojha. Article: A Technical Assessment of IOT for Indian Agriculture Sector. IJCA Proceedings on National Symposium on Modern Information and Communication Technologies for Digital India MICTDI 2016(1):1-5, December 2016. Full text available. BibTeX

@article{key:article,
	author = {Deepak Sharma and A. K. Shukla and Amol P. Bhondekar and C. Ghanshyam and Amritesh Ojha},
	title = {Article: A Technical Assessment of IOT for Indian Agriculture Sector},
	journal = {IJCA Proceedings on National Symposium on Modern Information and Communication Technologies for Digital India},
	year = {2016},
	volume = {MICTDI 2016},
	number = {1},
	pages = {1-5},
	month = {December},
	note = {Full text available}
}

Abstract

Agriculture is one of the most important aspects of human civilization. The usages of information and communication technologies (ICT) have significantly contributed in the area in last two decades. Internet of things (IOT) is a technology, where real life physical objects (e. g. sensor nodes) can work collaboratively to create an information based and technology driven system to maximize the benefits (e. g. improved agricultural production) with minimized risks (e. g. environmental impact). Implementation of IOT based solutions, at each phase of the area, could be a game changer for whole agricultural landscape, i. e. from seeding to selling and beyond. This article presents a technical review of IOT based application scenarios for agriculture sector. The article presents a brief introduction to IOT, IOT framework for agricultural applications and discusses various agriculture specific application scenarios, e. g. farming resource optimization, decision support system, environment monitoring and control systems. The article concludes with the future research directions in this area.

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