International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.15(3)(2024)

  • Recent Trends in Precision Agriculture: Applications & Challenges in Precision Farming

    Shahira Amira Shaari, Nurul Asyikin Mohamed Radzi, Sharifah Azwa Shaaya (Institute of Power Engineering, Universiti Tenaga Nasional, Kajang 43000, MALAYSIA),
    Kaiyisah Hanis Mohd Azmi (Department of Electronic System Engineering, Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100 Kuala Lumpur, MALAYSIA),
    Nayli Adriana Azhar (Institute of Power Engineering, Universiti Tenaga Nasional, Kajang 43000, MALAYSIA),
    Siti Aisyah Shahruddin (FGV Integrated Farming Holdings Sdn. Bhd., Level 20, Wisma FGV, Jalan Raja Laut, 50350 Kuala Lumpur, MALAYSIA).

    Discipline: Agriculture & Information Technology; Spatial Technology.

    ➤ FullText

    doi: 10.14456/ITJEMAST.2024.15

    Keywords: Precision farming; Agricultural machinery; IoT; GIS; Agricultural engineering; PA trend; PA technology; Automation; Conventional agriculture.

    Abstract
    Agricultural products for food production are expected to increase by 70% in 2050 to cater for the rising population. However, conventional agriculture (CA) practices cause unpredictable production, resource overutilisation, and unregulated waste production, while affecting climate change through greenhouse gas emissions. Precision agriculture (PA) is one of the fastest-growing agriculture technologies. PA strives to improve agricultural productivity, land-use efficiency, production costs, environmental quality, and food supply sustainability. Despite expanding research on new technology adoption, PA continues to suffer from a lack of agreement on its conceptualisation. Thus, this study examined agricultural developments from the conventional era to the current PA trends, with a focus on precision farming. This initiative would assist farm managers and agriculture analysts in identifying PA implementations and current PA technology for adoption while providing decision-making support.

    Paper ID: 15A3B

    Cite this article:

    Shaari, S. A., Radzi, N. A. M., Shaaya, S.A., Azmi, K. H. M., Azhar, N.A., and Shahruddin, S. A. (2024). Recent Trends in Precision Agriculture: Applications & Challenges in Precision Farming. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 15(3), 15A3B, 1-10. http://TUENGR.COM/V15/15A3B.pdf DOI: 10.14456/ITJEMAST.2024.15

References

  1. B. H. Abu Bakar and A. S. Bujang, “Precision Agriculture in Malaysia,” in International Workshop on ICTs for Precision Agriculture, 2019, no. August, pp. 91–104.
  2. [2] N. Tantalaki, S. Souravlas, and M. Roumeliotis, “Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems,” J. Agric. Food Inf., vol. 20, no. 4, pp. 344–380, 2019, DOI: 10.1080/10496505.2019.1638264
  3. [3] P. Radoglou-Grammatikis, P. Sarigiannidis, T. Lagkas, and I. Moscholios, “A compilation of UAV applications for precision agriculture,” Comput. Networks, vol. 172, no. February, p. 107148, 2020, DOI: 10.1016/j.comnet.2020.107148
  4. [4] Y. Tang, S. Dananjayan, C. Hou, Q. Guo, S. Luo, and Y. He, “A survey on the 5G network and its impact on agriculture?: Challenges and opportunities,” Comput. Electron. Agric., vol. 180, no. September 2020, p. 105895, 2021, DOI: 10.1016/j.compag.2020.105895
  5. [5] D. L. Corwin and E. Scudiero, Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors, 1st Ed., vol. 158. Elsevier, 2019. DOI: 10.1016/bs.agron.2019.07.001


Other issues:
Vol.15(1)(2024)
Vol.15(2)(2024)
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