Honeybee-based biohybrid system for landmine detection

被引:10
作者
Filipi, Janja [1 ]
Stojnic, Vladan [2 ]
Mustra, Mario [3 ]
Gillanders, Ross N. [4 ]
Jovanovic, Vedran [5 ]
Gajic, Slavica [2 ]
Turnbull, Graham A. [4 ]
Babic, Zdenka [2 ]
Kezic, Nikola [5 ]
Risojevic, Vladimir [2 ]
机构
[1] Univ Zadar, Dept Ecol Agron & Aquaculture, Trg Kneza Viseslava 9, Zadar 23000, Croatia
[2] Univ Banja Luka, Fac Elect Engn, Patre 5, Banja Luka 78000, Bosnia & Herceg
[3] Univ Zagreb, Fac Transport & Traff Sci, Vukeliceva 4, Zagreb 10000, Croatia
[4] Univ St Andrews, Sch Phys & Astron, Organ Semicond Ctr, SUPA, St Andrews KY16 9SS, Fife, Scotland
[5] Univ Zagreb, Fac Agr, Svetosimunska Cesta 25, Zagreb 10000, Croatia
关键词
REST sampling; Organic semiconductors; Unmanned aerial vehicles; Convolutional neural networks; Humanitarian demining; WING-BEAT MODULATION; APIS-MELLIFERA; FORAGING BEHAVIOR; OPTICAL-DETECTION; LIDAR; BEES; TECHNOLOGIES; POLLEN; LIGHT;
D O I
10.1016/j.scitotenv.2021.150041
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Legacy 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. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
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页数:9
相关论文
共 61 条
[1]   The foraging behaviour of honey bees, Apis mellifera: a review [J].
Abou-Shaara, H. F. .
VETERINARNI MEDICINA, 2014, 59 (01) :1-10
[2]  
[Anonymous], 2008, Visual Observation and Analysis of Animal and Insect Behavior, 19th ICPR
[3]   Floral odor learning within the hive affects honeybees' foraging decisions [J].
Arenas, Andres ;
Fernandez, Vanesa M. ;
Farina, Walter M. .
NATURWISSENSCHAFTEN, 2007, 94 (03) :218-222
[4]   POLLEN BEARING HONEY BEE DETECTION IN HIVE ENTRANCE VIDEO RECORDED BY REMOTE EMBEDDED SYSTEM FOR POLLINATION MONITORING [J].
Babic, Z. ;
Pilipovic, R. ;
Risojevic, V. ;
Mirjanic, G. .
XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 3 (07) :51-57
[5]  
Barisic D, 2002, HONEY BEES: ESTIMATING THE ENVIRONMENTAL IMPACT OF CHEMICALS, P160
[6]  
Bextine BR, 2002, SOUTHWEST ENTOMOL, V27, P31
[7]  
Bromenshenk J.J., 2003, ALTERNATIVES LANDMIN, P273
[8]   Bees as Biosensors: Chemosensory Ability, Honey Bee Monitoring Systems, and Emergent Sensor Technologies Derived from the Pollinator Syndrome [J].
Bromenshenk, Jerry J. ;
Henderson, Colin B. ;
Seccomb, Robert A. ;
Welch, Phillip M. ;
Debnam, Scott E. ;
Firth, David R. .
BIOSENSORS-BASEL, 2015, 5 (04) :678-711
[9]   Insect monitoring with fluorescence lidar techniques: feasibility study [J].
Brydegaard, Mikkel ;
Guan, Zuguang ;
Wellenreuther, Maren ;
Svanberg, Sune .
APPLIED OPTICS, 2009, 48 (30) :5668-5677
[10]   Pesticide residues in honey bees, pollen and beeswax: Assessing beehive exposure [J].
Calatayud-Vernich, Pau ;
Calatayud, Fernando ;
Simo, Enrique ;
Pico, Yolanda .
ENVIRONMENTAL POLLUTION, 2018, 241 :106-114