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Big Data Meets Small Sensors in Precision Agriculture

Published on May 2015 by Rupika Yadav, Jhalak Rathod, Vaishnavi Nair
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National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 2
May 2015
Authors: Rupika Yadav, Jhalak Rathod, Vaishnavi Nair
2a028e6b-823c-4f24-87ce-dab639f626fe

Rupika Yadav, Jhalak Rathod, Vaishnavi Nair . Big Data Meets Small Sensors in Precision Agriculture. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 2 (May 2015), 1-4.

@article{
author = { Rupika Yadav, Jhalak Rathod, Vaishnavi Nair },
title = { Big Data Meets Small Sensors in Precision Agriculture },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 2 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/acewrm2015/number2/20900-6025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Rupika Yadav
%A Jhalak Rathod
%A Vaishnavi Nair
%T Big Data Meets Small Sensors in Precision Agriculture
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 2
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

In India, majority of rural residents are dependent on agriculture for their livelihood. But, the current agricultural practices are not prudentially viable neither environmentally supportable and the yields of many agricultural products in India are critically low. In the near future, it will become essential for the country to build a high yielding, competitive, and varied agricultural sector and expedite rural, non-farm entrepreneurship and employment. This paper identifies the corollaries of traditional farming practices and addresses how to increase the yield of the agricultural commodities by using present day computer technologies. Further, it also acknowledges the critical computing and diagnostic ability of Big Data in processing huge volumes of transactional data in real time situations. The objective of this paper is to present the amendments in the agricultural sector and encourages the discussions on how government can foster innovations in the big data analytics to improve the rural agricultural system.

References
  1. http://en. wikipedia. org/wiki/Agriculture_in_India
  2. http://en. wikipedia. org/wiki/Big_data
  3. http://www. ibm. com/big-data/us/en/
  4. Tekiner, F. ; Keane, J. A. , "Big Data Framework," Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on , vol. , no. , pp. 1494, 1499, 13-16 Oct. 2013
  5. http://www. pinaldave. com/bimg/bigdataimage. jpg
  6. http://www. scaledb. com/wp-content/uploads/2014/05/big_data. jpg
  7. Venkatareddy Konasani, Mukul Biswas and Praveen Krishnan Koleth, "Fraud Management using Big Data Analytics", A Whitepaper by Trendwise Analytics.
  8. http://www. atelier. net/en/trends/articles/farmers-starting-capitalize-big-data-technology_424444
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Analytics Rural Agricultural Systems Precision Agriculture Electronic Farm Records.