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The Role of Emerging IT Technologies in Agriculture

Kannepalli Subhadra1

Section:Review Paper, Product Type: Journal Paper
Volume-8 , Issue-3 , Page no. 49-57, Mar-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i3.4957

Online published on Mar 30, 2020

Copyright © Kannepalli Subhadra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kannepalli Subhadra, “The Role of Emerging IT Technologies in Agriculture,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.3, pp.49-57, 2020.

MLA Style Citation: Kannepalli Subhadra "The Role of Emerging IT Technologies in Agriculture." International Journal of Computer Sciences and Engineering 8.3 (2020): 49-57.

APA Style Citation: Kannepalli Subhadra, (2020). The Role of Emerging IT Technologies in Agriculture. International Journal of Computer Sciences and Engineering, 8(3), 49-57.

BibTex Style Citation:
@article{Subhadra_2020,
author = {Kannepalli Subhadra},
title = {The Role of Emerging IT Technologies in Agriculture},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2020},
volume = {8},
Issue = {3},
month = {3},
year = {2020},
issn = {2347-2693},
pages = {49-57},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5049},
doi = {https://doi.org/10.26438/ijcse/v8i3.4957}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i3.4957}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5049
TI - The Role of Emerging IT Technologies in Agriculture
T2 - International Journal of Computer Sciences and Engineering
AU - Kannepalli Subhadra
PY - 2020
DA - 2020/03/30
PB - IJCSE, Indore, INDIA
SP - 49-57
IS - 3
VL - 8
SN - 2347-2693
ER -

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Abstract

Agriculture sector in India is moving back day by day which affects the production capacity of ecosystem. Agriculture has usually been treated as an instinctive space with insight passed down from one generation to another. But today’s problems like the climate change, reduction of feasible farmland, reduction of water resources, and the loss of productivity due to the occurrence of extreme weather events are more complex and vital in the present nature. The United Nations estimates that the global population will reach 9.8 billion by 2050 that is a 2.2 billion increase from now [1]. This means that there is a need to improve our crop production significantly to supply to the rising number of people. One of the important things that are associated with present agriculture is the capability to forecast the events that will produce a desired outcome. Farmers need proper information throughout the entire farming cycle to achieve the goals. The required information is sprinkled in various places which includes actual information such as market prices and current production level along with the existing primary crop knowledge. The world around agriculture requires automation by replacing manual procedures with the expansion of technology, because it is energy efficient and takes minimal man power. Some farmers simply cannot increase their land to cultivate more crops, in that situation there is a need for technology to make better use of the available space in an efficient manner. This situation leads for technological innovation, to face the challenges like extreme weather conditions, rising climate change, and farming’s environmental impact. To meet these increasing needs, agriculture has to revolve to new technology. Now a day’s there is rapid enhancement in technologies, different tools and techniques are available in agriculture sector. To improve efficiency, productivity, global market and to reduce human intervention, time and cost there is a need to divert towards new technologies named IoT, Big Data and AI – The Three Digital Pillars of every Industry. This paper emphasizes on the analysis of the agriculture data and finding optimal parameters to maximize the crop production using technologies, examines the challenges, applications and opportunities of these technologies and concludes that these technologies will lead to relevant analysis at every stage of the agricultural value chain that leads to smart agriculture.

Key-Words / Index Term

Internet of Things, Big Data, AI, Smart Farming.

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