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Smart agriculture: a literature review

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  • Disha Garg
  • Mansaf Alam

Abstract

Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing (CC), and artificial intelligence (AI). These Emerging technologies are the potential enablers of data-driven smart farming. Realizing the importance of data-driven agriculture, we provide a complete picture of current literature in smart agriculture by using a review classification framework divided into four categories: (i) Smart Farming Activities, (ii) BDA Levels, (iii) BDA Models, and (iv) BDA Techniques. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to review the current literature on intelligent farming. A total of 90 papers have been identified, and content analysis was conducted to mine knowledge in the domain for 2011–2022. The primary intention of this review is to clarify the most prominent farming activity, level of analytics, BDA models, and techniques in smart farming. Finally, the findings of our review analysis are discussed, and work suggestions are addressed for further research.

Suggested Citation

  • Disha Garg & Mansaf Alam, 2023. "Smart agriculture: a literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 10(2), pages 359-415, April.
    • Handle: RePEc:taf:tjmaxx:v:10:y:2023:i:2:p:359-415
    DOI: 10.1080/23270012.2023.2207184
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