Mapping IoT performance across agri-food supply chain stages: A dual-method evidence synthesis
DOI:
https://doi.org/10.4108/eetiot.13089Keywords:
Internet of Things (IoT), agri-food supply chains, digital thread, performance metrics, cold-chain monitoring, traceabilityAbstract
Internet of Things research in agri-food supply chains has expanded rapidly, but evidence of operational performance remains uneven across stages. We combined bibliometric mapping of 625 records (2015–2025) with a PRISMA 2020 systematic review and JBI appraisal of 68 studies covering seven stages. Production provided the strongest evidence: one two-year soybean trial reported 23.1–29.1% higher yield under precision irrigation than under flood irrigation. Storage and transportation offered moderate observational evidence of improved temperature-excursion detection and response, whereas evidence remained limited in the distribution-and-retail and consumption stages. The review separates publication activity from demonstrated performance, quantifies stage-wise evidence asymmetry, defines the agri-food digital thread, and proposes comparable measures for excursions, spoilage, traceability completeness, and retrieval latency. Evidence was limited mainly to English-language pilot studies.
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