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dc.contributor.authorFilipi, Janja
dc.contributor.authorStojnić, Vladan
dc.contributor.authorMuštra, Mario
dc.contributor.authorGillanders, Ross N.
dc.contributor.authorJovanović, Vedran
dc.contributor.authorGajić, Slavica
dc.contributor.authorTurnbull, Graham A.
dc.contributor.authorBabić, Zdenka
dc.contributor.authorKezić, Nikola
dc.contributor.authorRisojević, Vladimir
dc.identifier.citationFilipi , J , Stojnić , V , Muštra , M , Gillanders , R N , Jovanović , V , Gajić , S , Turnbull , G A , Babić , Z , Kezić , N & Risojević , V 2022 , ' Honeybee-based biohybrid system for landmine detection ' , Science of the Total Environment , vol. 803 , 150041 .
dc.identifier.otherRIS: urn:1F48636CD941CC340511228BC3F65812
dc.identifier.otherORCID: /0000-0002-8825-3234/work/100172693
dc.descriptionThis research was funded in part by NATO Science for Peace and Security (SPS) Programme, project number SPS 985355, “Biological Method (Bees) for Explosive Detection”.en
dc.description.abstractLegacy landmines in post-conflict areas are a non-discriminatory lethal hazard and can still be triggered decades after the conflict has ended. Efforts to detect these explosive devices are expensive, time-consuming, and dangerous to humans and animals involved. While methods such as metal detectors and sniffer dogs have successfully been used in humanitarian demining, more tools are required for both site surveying and accurate mine detection. Honeybees have emerged in recent years as efficient bioaccumulation and biomonitoring animals. The system reported here uses two complementary landmine detection methods: passive sampling and active search. Passive sampling aims to confirm the presence of explosive materials in a mine-suspected area by the analysis of explosive material brought back to the colony on honeybee bodies returning from foraging trips. Analysis is performed by light-emitting chemical sensors detecting explosives thermally desorbed from a preconcentrator strip. The active search is intended to be able to pinpoint the place where individual landmines are most likely to be present. Used together, both methods are anticipated to be useful in an end-to-end process for area surveying, suspected hazardous area reduction, and post-clearing internal and external quality control in humanitarian demining.
dc.relation.ispartofScience of the Total Environmenten
dc.subjectREST samplingen
dc.subjectOrganic semiconductorsen
dc.subjectUnmanned aerial vehiclesen
dc.subjectConvolutional neural networksen
dc.subjectHumanitarian deminingen
dc.subjectQC Physicsen
dc.titleHoneybee-based biohybrid system for landmine detectionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.description.statusPeer revieweden

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