Identification of promising smart farm technologies and development of technology roadmap using patent map analysis

Eunsuk Chun, Sungchan Jun, Chulung Lee

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


In this study, we suggest methodologies for identifying promising and vacant technologies on smart farms by analyzing patent information. Additionally, a technology roadmap for smart farms is suggested using network analysis. The database of patents related to smart farms was extracted from the United States Patent and Trademark Office (USPTO) by keyword search, and valid patents data was selected and clustered using the Latent Dirichlet Allocation (LDA) algorithm. We also conducted the technical importance analysis and trend analysis to identify promising technology topics. By developing a patent map based on a self-organizing map (SOM), we were able to identify vacant technologies among smart farm technology groups. In order to develop vacant technologies, we presented a stepwise technology roadmap by analyzing the relationship between technology elements using network analysis. The proposed procedure and analysis method provides useful insights in establishing research and development (R&D) strategies for the development of smart farm technology roadmaps.

Original languageEnglish
Article number10709
JournalSustainability (Switzerland)
Issue number19
Publication statusPublished - 2021 Oct 1


  • Network analysis
  • Patent analysis
  • Patent map
  • Promising vacant technology
  • Smart farm
  • Technology road map

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law


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