2015/03/03 by Raja Jurdak, Alberto Elfes, Branislav Kusý +7
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Biology #Biosecurity #Business #Computer science #Data science #Disease #Disease surveillance #Ecology #Insect Resistance and Genetics #Insect and Arachnid Ecology and Behavior #Medicine #Mosquito-borne diseases and control #Risk analysis (engineering) #Scalability #cs.CY #cs.RO
paper · pdf · doi:10.1016/j.tibtech.2015.01.003
26 pages, Trends in Biotechnology, 3 March 2015, ISSN 0167-7799, http://dx.doi.org/10.1016/j.tibtech.2015.01.003. (http://www.sciencedirect.com/science/article/pii/S0167779915000190)
openalex publication_date 2015/03/03 · arxiv created 2015/03/04 · arxiv updated 2015/03/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.