Autonomous surveillance for biosecurity

Raja Jurdak*, Alberto Elfes, Branislav Kusy, Ashley Tews, Wen Hu, Emili Hernandez, Navinda Kottege, Pavan Sikka

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

25 Citations (Scopus)


The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional manual biosecurity surveillance methods are limited by their scalability in space and time. This article focuses on autonomous surveillance systems, comprising sensor networks, robots, and intelligent algorithms, and their applicability to biosecurity threats. We discuss the spatial and temporal attributes of autonomous surveillance technologies and map them to three broad categories of biosecurity threat: (i) vector-borne diseases; (ii) plant pests; and (iii) aquatic pests. Our discussion reveals a broad range of opportunities to serve biosecurity needs through autonomous surveillance.

Original languageEnglish
Pages (from-to)201-207
Number of pages7
JournalTrends in Biotechnology
Issue number4
Publication statusPublished - 1 Apr 2015
Externally publishedYes


  • Autonomy
  • Distributed
  • Robots
  • Sensors
  • Spatiotemporal
  • Systems


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