Summary
This bibliometric review synthesises 1,855 articles on artificial intelligence applications in food safety (2012–2022) using quantitative analysis through CiteSpace software. The authors map the field's evolution, identify China and the United States as leading contributors, and highlight key journals and research trajectories spanning precision agriculture through precision nutrition. The review provides stakeholders with a structured overview of AI's role in improving food yield, quality, safety, traceability and nutritional outcomes whilst reducing resource consumption and waste.
UK applicability
The review's global scope and identification of AI applications across the food supply chain are relevant to UK food safety policy and practice, though the predominance of China and United States literature may mean UK-specific applications and regulatory contexts are underrepresented in the analysed corpus.
Key measures
Annual publication counts, co-citation frequency, institutional contribution volume, journal impact and citation patterns, research hotspots and trends identified through network analysis
Outcomes reported
The study analysed 1,855 peer-reviewed articles on AI in food safety published between 2012 and 2022 using bibliometric methods, identifying research trends, key contributors, and hot spots across the food supply chain from precision agriculture to precision nutrition.
Topic tags
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