Digital Transformation Drivers, Technologies, and Pathways in Agricultural Product Supply Chains: A Comprehensive Literature Review

The digital transformation of agricultural product supply chains has emerged as a strategic direction that cannot be overlooked in the global modernization of agriculture. This paper adopts a narrative review framework based on the “Technology–Collaboration–Sustainability” perspective in the digital transformation of agricultural product supply chains, summarizing the drivers of digital transformation, the application of digital technologies, multi-stakeholder collaborative mechanisms, and pathways for sustainable development within these supply chains. The study finds that the core drivers promoting the digital transformation of agricultural product supply chains include external environmental factors (such as population growth, dietary shifts, and food waste) and internal demand drivers (such as industrial upgrading and increased corporate competition). The application of digital technologies such as the Internet of Things (IoT), blockchain, and artificial intelligence (AI) has significantly improved the efficiency, transparency, and resilience of the supply chains. Furthermore, various models of multi-stakeholder collaborative mechanisms have optimized resource allocation and enhanced supply chain stability. Finally, the paper proposes a pathway for the sustainable development of agricultural product supply chains based on digital transformation, providing directions for future research and practice.

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Publication Details

Journal
Applied Sciences
Published
2025-09-28
DOI
https://doi.org/10.3390/app151910487
Citations
6
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
6.97

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article

Digital Transformation Drivers, Technologies, and Pathways in Agricultural Product Supply Chains: A Comprehensive Literature Review

Qingfeng Meng, Zhen Li, W. F. Wang
6 citations
Applied Sciences
Food Waste Reduction and Sustainability
6.97
article

Digital Transformation Drivers, Technologies, and Pathways in Agricultural Product Supply Chains: A Comprehensive Literature Review

Qingfeng Meng, Zhen Li, W. F. Wang
article en
6 citations

Abstract

The digital transformation of agricultural product supply chains has emerged as a strategic direction that cannot be overlooked in the global modernization of agriculture. This paper adopts a narrative review framework based on the “Technology–Collaboration–Sustainability” perspective in the digital transformation of agricultural product supply chains, summarizing the drivers of digital transformation, the application of digital technologies, multi-stakeholder collaborative mechanisms, and pathways for sustainable development within these supply chains. The study finds that the core drivers promoting the digital transformation of agricultural product supply chains include external environmental factors (such as population growth, dietary shifts, and food waste) and internal demand drivers (such as industrial upgrading and increased corporate competition). The application of digital technologies such as the Internet of Things (IoT), blockchain, and artificial intelligence (AI) has significantly improved the efficiency, transparency, and resilience of the supply chains. Furthermore, various models of multi-stakeholder collaborative mechanisms have optimized resource allocation and enhanced supply chain stability. Finally, the paper proposes a pathway for the sustainable development of agricultural product supply chains based on digital transformation, providing directions for future research and practice.

Applied SciencesVol. 15(19)
Jiangsu University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Qinglan Project of Jiangsu Province of China
Openalex Percentile: Top 3%
Food Waste Reduction and Sustainability
6.97
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Digital Transformation Drivers, Technologies, and Pathways in Agricultural Product Supply Chains: A Comprehensive Literature Review — Qingfeng Meng, Zhen Li, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS