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

Authors: Jairo Fuentes; Jose Aguilar

Addresses: Universidad Francisco de Paula Santander, Av. Gran Colombia, Cúcuta, 540001, Colombia; GIDITIC, Universidad EAFIT, Carrera 48 No. 7 Sur-50, Medellín, 050022, Colombia ' CEMISID, Facultad de Ingeniería, Universidad de Los Andes, Mérida, 5101, Venezuela; IMDEA Networks Institute, Leganés, Madrid, 28918, Spain

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.

Keywords: artificial intelligence; agribusiness; small agribusiness production management; SLR; systematic literature review.

DOI: 10.1504/IJBPSCM.2025.150381

International Journal of Business Performance and Supply Chain Modelling, 2025 Vol.15 No.4, pp.339 - 363

Accepted: 22 Mar 2025
Published online: 12 Dec 2025 *

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