Summary
This bibliometric and ecological synthesis examines the landscape of coffee integrated pest management research across 655 publications from 1977–2024. The authors identify a shift from pest-specific enquiry towards biological control and ecosystem-based approaches, with recognition of pollination services and natural enemies such as Hymenoptera and entomopathogenic fungi. The review reveals significant geographic concentration in Brazil, the USA and Mexico, and highlights emerging opportunities in AI monitoring, climate-smart practices, and participatory approaches, whilst documenting persistent gaps in field validation and smallholder adoption.
Regional applicability
The study is a global bibliometric review and does not focus on United Kingdom coffee production, which is not commercially significant. However, findings on biological control agents, ecosystem-based IPM strategies, and adoption barriers in smallholder systems may inform UK-supported agricultural development programmes in coffee-producing regions, and could support UK research funders prioritising sustainable integrated pest management globally.
Key measures
Publication volume and growth rate (8.68% annual increase), geographic distribution of research output, co-authorship patterns (33.74% international), citation frequency and influence of key authors and journals, thematic classification of research over time
Outcomes reported
Bibliometric analysis of 655 Scopus publications on coffee IPM (1977–2024), identifying research trends, influential scholars and journals, and thematic evolution from pest-specific studies towards biological control and ecosystem-based strategies. The study documents shifts in research focus, persistent knowledge gaps, and emerging tools including AI monitoring and climate-smart practices.
Supporting research
Primary abstract bibliometrically synthesises 655 coffee integrated-pest-management publications and ecological themes.
Limits: Bibliometric/ecological synthesis, not a new farm intervention; publication trends and claimed gaps are specific to its source/search, with field validation and adoption still limited.
Topic tags
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