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A Review On Use Of Artificial Intelligence And Machine Learning In Agriculture

Author

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  • Abhishek Subedi

    (Institute of Agriculture and animal science)

Abstract

The implementation of artificial intelligence (AI) and machine learning (ML) techniques in the field of agriculture has gained significant attention in recent years. This report explores the various applications of AI and ML in agriculture, focusing on their benefits, challenges, and future prospects. By analyzing existing research and case studies, this report aims to provide insights into the potential of AI and ML technologies to revolutionize farming practices and improve crop yield, resource management, and sustainability in the agricultural sector.

Suggested Citation

  • Abhishek Subedi, 2023. "A Review On Use Of Artificial Intelligence And Machine Learning In Agriculture," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 5(2), pages 71-72, August.
    • Handle: RePEc:zib:zbnbda:v:5:y:2023:i:2:p:71-72
    DOI: 10.26480/bda.02.2023.71.72
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    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    Full references (including those not matched with items on IDEAS)

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