Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer


See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 9, Issue:4, April, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 1-5
DOI: https://doi.org/10.20546/ijcmas.2020.904.001


Big Data: A tool for Agriculture as Industry 4.0
Sunny Arya1, Vandana Kumari2* and Atul Raj3
¹Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi, India
2Department of Soil Science, Dr. Rajendra Prasad Central Agricultural University, Bihar, India
3Computer Science, Gaya College of Engineering, Gaya, Bihar, India
*Corresponding author
Abstract:

Big data is characterized into five dimensions called five Vs, volume, velocity, variety, veracity and value. The growth in big data is a recent phenomenon not only in area of information technology but also other sector. The agriculture sector is also experiencing the rise of Big Data which is fuelled development of multiple cheap and portable sensors. These sensors range from soil moisture, temperature and humidity sensors, RGB cameras to hyperspectral cameras. As much as collection of data is important so much is its analysis. It has shown its application in remote sensing, smart farming, Internet-of-Things (IoT), automation of supply chain and farm decision making. In this paper role big data in agriculture as an emerging tool for transforming agriculture as Industry 4.0 is reviewed, discussed and finally its challenges and limitations are listed.


Keywords: Big data, Agriculture, Industry 4.0, Smart Agriculture, Decision support system

Download this article as Download

How to cite this article:

Sunny Arya, Vandana Kumari and Atul Raj. 2020. Big Data: A tool for Agriculture as Industry 4.0.Int.J.Curr.Microbiol.App.Sci. 9(4): 1-5. doi: https://doi.org/10.20546/ijcmas.2020.904.001
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

Citations