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Enhancing Agricultural Productivity in Nigeria Through Technological Innovations the Study of Predictive Tools and Smart Farming

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  • Alih, Lami

    (Department of Social Science and Humanities The Federal Polytechnic, Idah)

Abstract

Enhancing agricultural productivity in Nigeria through technological innovations with special focus on preventive smart farming is key to the growth and development of the agricultural sector as this would accelerate the production of indigenous goods and services, reduce poverty, inequality, unemployment and sustain national value, identity and norms required for national development. The aim is identifying barriers for adopting preventive tools and smart farming technologies among Nigerian farmers, examine the influence of infrastructural cost and access to finance, and propose policy frameworks and interventions that could enhance the adoption of preventive tools and smart farming. The study adopted primary source of data collection and interviewed 304 respondents, using diffusion innovations and the technology acceptance models to interrogate sequence. Finding reveals that crops are not yielding adequately due to plethora of challenges. The study recommendations include, subsidy for farmers, rural development and supportive frameworks for farmers.

Suggested Citation

  • Alih, Lami, 2024. "Enhancing Agricultural Productivity in Nigeria Through Technological Innovations the Study of Predictive Tools and Smart Farming," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(12), pages 1716-1733, December.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:12:p:1716-1733
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    References listed on IDEAS

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    1. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    2. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    3. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
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