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The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture

Author

Listed:
  • E. M. B. M. Karunathilake

    (Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea)

  • Anh Tuan Le

    (Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea)

  • Seong Heo

    (Department of Horticulture, Kongju National University, Yesan 32439, Republic of Korea)

  • Yong Suk Chung

    (Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea)

  • Sheikh Mansoor

    (Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea)

Abstract

Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as feeding a growing world population while reducing environmental effects. This review article examines some of the latest recent advances in precision agriculture, including the Internet of Things (IoT) and how to make use of big data. This review article aims to provide an overview of the recent innovations, challenges, and future prospects of precision agriculture and smart farming. It presents an analysis of the current state of precision agriculture, including the most recent innovations in technology, such as drones, sensors, and machine learning. The article also discusses some of the main challenges faced by precision agriculture, including data management, technology adoption, and cost-effectiveness.

Suggested Citation

  • E. M. B. M. Karunathilake & Anh Tuan Le & Seong Heo & Yong Suk Chung & Sheikh Mansoor, 2023. "The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture," Agriculture, MDPI, vol. 13(8), pages 1-26, August.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1593-:d:1215239
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    References listed on IDEAS

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    19. Jeannette Aduhene-Chinbuah & Clement Oppong Peprah, 2024. "Multi-risk management in Ghana's agricultural sector: Strategies, actors, and conceptual shifts—a review," Review of Agricultural, Food and Environmental Studies, Springer, vol. 105(4), pages 393-418, December.
    20. Luca Preite & Federico Solari & Giuseppe Vignali, 2025. "Water Management Optimization in Agriculture: a Digital Model Development," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(3), pages 1261-1279, February.
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