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Big Data Challenges and Opportunities in Agriculture

Author

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  • Maya Gopal P.S.

    (VIT University, Chennai, India)

  • Bhargavi Renta Chintala

    (School of Computing Science and Engineering, VIT University, Chennai, India)

Abstract

This article reviews various aspects of research concerning the background and state-of-the-art of big data in agriculture. This article focuses on data generation, storage, analysis and visualization in big data. In every phase, technical challenges and the latest advancement are discussed, and these discussions aim to provide a comprehensive overview and complete picture of this exciting area. This survey is concluded with a discussion on the application of big data in precision agriculture and its future directions.

Suggested Citation

  • Maya Gopal P.S. & Bhargavi Renta Chintala, 2020. "Big Data Challenges and Opportunities in Agriculture," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 11(1), pages 48-66, January.
    • Handle: RePEc:igg:jaeis0:v:11:y:2020:i:1:p:48-66
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    Cited by:

    1. Tan Wang & Xianbao Xu & Cong Wang & Zhen Li & Daoliang Li, 2021. "From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production," Agriculture, MDPI, vol. 11(2), pages 1-26, February.
    2. Mohammad Amiri-Zarandi & Mehdi Hazrati Fard & Samira Yousefinaghani & Mitra Kaviani & Rozita Dara, 2022. "A Platform Approach to Smart Farm Information Processing," Agriculture, MDPI, vol. 12(6), pages 1-18, June.
    3. Rim Lassoued & Diego M. Macall & Stuart J. Smyth & Peter W. B. Phillips & Hayley Hesseln, 2021. "Expert Insights on the Impacts of, and Potential for, Agricultural Big Data," Sustainability, MDPI, vol. 13(5), pages 1-18, February.

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