Impact of Information Technologies in the Agricultural Supply Chain: A bibliographical review

Descripción del Articulo

This systematic review examined the impact of information technologies (IT) including IoT, blockchain, big data, artificial intelligence and cloud computing on agricultural supply-chain management between 2015 and 2025. Following PRISMA guidelines, searches in Scopus, Web of Science, SciELO and Reda...

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Detalles Bibliográficos
Autores: Cedano, Jose Manuel, Alfaro Rosas, Jorge Luis, Miñano Rodríguez, Cristian Alfredo
Formato: artículo
Fecha de Publicación:2026
Institución:Universidad La Salle
Repositorio:Revistas - Universidad La Salle
Lenguaje:español
OAI Identifier:oai:ojs.revistas.ulasalle.edu.pe:article/315
Enlace del recurso:https://revistas.ulasalle.edu.pe/innosoft/article/view/315
https://doi.org/10.48168/innosoft.s29.a315
https://n2t.net/ark:/42411/s29/a315
Nivel de acceso:acceso abierto
Materia:Agricultural supply chain
Blockchain
Digital transformation
IoT
Traceability
Agropecuario
Cadena de suministro
Trazabilidad
Descripción
Sumario:This systematic review examined the impact of information technologies (IT) including IoT, blockchain, big data, artificial intelligence and cloud computing on agricultural supply-chain management between 2015 and 2025. Following PRISMA guidelines, searches in Scopus, Web of Science, SciELO and Redalyc combined descriptors for IT and agri-food logistics; rigorous inclusion/exclusion criteria reduced 1,034 records to 59 peer-reviewed articles. Evidence shows that IT enhances traceability, curbs losses and supports real-time decision making through sensors, analytics and smart contracts; blockchain-IoT synergies strengthen transparency, big-data analytics mitigates food waste, and time-temperature indicators extend meat shelf life. Nevertheless, infrastructural, financial and skill-related barriers—particularly in small and medium enterprises—hamper adoption and create gaps relative to large firms. It is therefore proposed that converging digital technologies represent a strategic lever for more efficient, resilient and sustainable agri-food supply chains, provided that supportive policies, data standards and capacity-building programmes are enacted
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