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A systematic literature review on the management of small agroindustrial producers using artificial intelligence

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  • Jairo Fuentes
  • Jose Aguilar

Abstract

Small agro-industrial producers play a vital role in a country's economic and social advancement. Artificial intelligence (AI) builds knowledge models that allow agro-industrial producers to make decisions about production chains to achieve high levels of performance and competitiveness. The objective of this work is to perform a systematic literature review on the use of AI for the management of small agro-industrial productions. Seven scientific digital libraries and a search methodology based on research questions, inclusion, and exclusion criteria, among other aspects, were used to investigate the use of AI for the management of small agribusinesses. An analysis of 62 articles was performed to assess the strengths and limitations of using AI in Small Agribusiness Production Management, as well as to identify the primary challenges and opportunities. Among the limitations found are the low investment in new technologies, and the rejection of changes and innovative business models.

Suggested Citation

  • Jairo Fuentes & Jose Aguilar, 2025. "A systematic literature review on the management of small agroindustrial producers using artificial intelligence," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 15(4), pages 339-363.
    • Handle: RePEc:ids:ijbpsc:v:15:y:2025:i:4:p:339-363
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