ReviewFood science & nutrition2026
Towards a Sustainable Food Supply Chain: Digital Transformation via Blockchain, IoT and AI.
Review in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Supply chain management (SCM) plays a pivotal role in achieving competitive advantage, enhancing customer value, and ensuring efficient transformation of raw materials into finished food products. However, the increasing complexity and globalization of agri-food supply chains (AFSCs) have intensified challenges related to food safety, waste management, traceability, and sustainability. In response, digital transformation driven by Industry 4.0 technologies, particularly Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI), has emerged as a critical enabler of sustainable food systems. This review critically examines the role of these technologies in enhancing transparency, efficiency, and resilience across food supply chains. Blockchain ensures secure, immutable, and transparent data sharing, thereby improving traceability and trust among stakeholders. IoT facilitates real-time monitoring of environmental and logistical parameters, reducing post-harvest losses and ensuring product quality. AI-driven analytics enable predictive decision-making, demand forecasting, and resource optimization, contributing to reduced food waste and improved operational performance. Collectively, these technologies support precision agriculture, smart logistics, and data-driven supply chain integration, thereby advancing sustainability goals. Despite these benefits, the adoption of digital technologies faces significant barriers, including high implementation costs, interoperability challenges, data privacy concerns, and limited technological infrastructure. This study highlights current advancements, identifies research gaps, and proposes future directions for scalable and secure digital integration to achieve sustainable and resilient food supply chains.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.