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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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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
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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