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Enhancing Agricultural Productivity Among Emerging Farmers Through Data-Driven Practices

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Listed:
  • Mzuhleli Makapela

    (Faculty of Humanities, Central University of Technology, Bloemfontein 9301, South Africa)

  • Gregg Alexander

    (Faculty of Humanities, Central University of Technology, Bloemfontein 9301, South Africa)

  • Molaodi Tshelane

    (Faculty of Humanities, University of South Africa, Pretoria 0002, South Africa)

Abstract

This paper explores the critical need for empowering emerging farmers within vulnerable communities through vocational adult education (VAE) approaches. Conducted within the Raymond Mhlaba District Municipality, South Africa, this study illuminates the persistent challenges of illiteracy, poverty, and the impact of climate change on agricultural productivity faced by these farmers. Employing a mixed-methods research design that combines quantitative and qualitative methodologies, this study investigates the effectiveness of digital agriculture and extension services in enhancing agricultural productivity and sustainability among emerging farmers. Key findings reveal significant barriers to technology adoption and the necessity for tailored training programs that integrate local knowledge systems and digital tools. Results demonstrate an average increase of 40% in crop yields among farmers participating in digital training initiatives ( p < 0.01), underscoring the power of precision agriculture. Insights presented in this paper offer actionable recommendations for policymakers and stakeholders aimed at fostering inclusive agricultural development that addresses the unique challenges faced by emerging farmers in this region.

Suggested Citation

  • Mzuhleli Makapela & Gregg Alexander & Molaodi Tshelane, 2025. "Enhancing Agricultural Productivity Among Emerging Farmers Through Data-Driven Practices," Sustainability, MDPI, vol. 17(10), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4666-:d:1659355
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    References listed on IDEAS

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    1. World Bank, 2020. "Poverty and Shared Prosperity 2020," World Bank Publications - Books, The World Bank Group, number 34496, April.
    2. 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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