Role of Big Data in Agriculture
Madhuri J1, Indiramma M2
1Madhuri J*, Research Scholar, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India.
2Indiramma M, Professor, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India.
Manuscript received on November 13, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 3811-3821 | Volume-9 Issue-2, December 2019. | Retrieval Number: A5346119119/2019©BEIESP | DOI: 10.35940/ijitee.A5346.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data analytics in the agricultural sector has huge potential to cater to requirements of food production. This review highlights the role of Big Data in pertinent data acquisition from factors affecting the agriculture such as weather, soil, diseases, remote sensing and the prospects of agricultural data analysis towards smart farming. Incorporating modern technologies in farming practices continuously monitor the environment, thus producing large quantity of data. Hence there arises the need for advanced practical and systematic strategies to correlate the different factors driving the agriculture to derive valuable information out of it. Big Data can be a promising aspect for the future of food production and sustainability of agriculture. Leveraging big data in the agricultural sector can provide insights in farming practices, helps in making real-time decisions and motivates in incorporating new methods of farming operations. The main objective of this paper is to provide insights into different factors that contribute to making timely recommendations to farmers with regard to smart agricultural techniques.
Keywords: Big Data, Agriculture, Smart farming, Soil, Climate, Remote Sensing, IOT.
Scope of the Article: IOT