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Factors Affecting Precision Agriculture Adoption: A Systematic Litterature Review

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  • Yatribi Taoufik

    (Department of Rural Economy, National School of Agriculture in Meknès, Morocco)

Abstract

The aim of this paper is to present the main advances in the adoption of precision agriculture technologies. While we are witnessing the emergence of a literature dedicated to the adoption of new technologies, this theme still suffers from a lack of consensus on its conceptualization. Based on the prisma statement method (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes), the objective is to carry out a review of the systemic literature in order to identify the main factors of adoption of the technologies of precision agriculture over the past ten years. The results show that individual factors are the most empirically identified as determining factors in the adoption of precision agriculture technologies. That said, the farmer is at the center of the adoption decision. Perceived utility is the factor most identified in the literature as the determinant of adoption.

Suggested Citation

  • Yatribi Taoufik, 2020. "Factors Affecting Precision Agriculture Adoption: A Systematic Litterature Review," Economics, Sciendo, vol. 8(2), pages 103-121, December.
    • Handle: RePEc:vrs:econom:v:8:y:2020:i:2:p:103-121:n:4
    DOI: 10.2478/eoik-2020-0013
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    References listed on IDEAS

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    1. Kaliba, Aloyce R. & Mushi, Richard J. & Gongwe, Anne G. & Mazvimavi, Kizito, 2020. "A typology of adopters and nonadopters of improved sorghum seeds in Tanzania: A deep learning neural network approach," World Development, Elsevier, vol. 127(C).
    2. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    3. Adnan, Nadia & Nordin, Shahrina Md & bin Abu Bakar, Zulqarnain, 2017. "Understanding and facilitating sustainable agricultural practice: A comprehensive analysis of adoption behaviour among Malaysian paddy farmers," Land Use Policy, Elsevier, vol. 68(C), pages 372-382.
    4. Thomas Koutsos & Georgios Menexes, 2019. "Economic, Agronomic, and Environmental Benefits From the Adoption of Precision Agriculture Technologies: A Systematic Review," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 10(1), pages 40-56, January.
    5. D'Antoni, Jeremy M. & Mishra, Ashok K. & Powell, Rebekah R. & Martin, Steven W., 2012. "Farmers’ Perception of Precision Technology: The Case of Autosteer Adoption by Cotton Farmers," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119734, Southern Agricultural Economics Association.
    6. Windinkonté Séogo & Pam Zahonogo, 2019. "Land tenure system innovation and agricultural technology adoption in Burkina Faso: Comparing empirical evidence to the worsening situation of both rural people vulnerability and vulnerable groups’ ac," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 11(7), pages 833-842, November.
    7. Lambert, Dayton M. & Paudel, Krishna P. & Larson, James A., 2015. "Bundled Adoption of Precision Agriculture Technologies by Cotton Producers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-21, May.
    8. Gideon Danso-Abbeam & Gilbert Dagunga & Dennis Sedem Ehiakpor, 2019. "Adoption of Zai technology for soil fertility management: evidence from Upper East region, Ghana," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-14, December.
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    10. Philip Brown & Simon Roper, 2017. "Innovation and networks in New Zealand farming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 422-442, July.
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    Cited by:

    1. Massfeller, Anna & Storm, Hugo, 2022. "Socio-spatial information sources influencing farmers’ decision to use mechanical weeding in sugar beets," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321154, Agricultural Economics Society - AES.

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    More about this item

    Keywords

    Technology adoption; technological innovations; precision agriculture; Systematic reviews;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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