Honeybee-based biohybrid system for landmine detection

Sci Total Environ. 2022 Jan 10:803:150041. doi: 10.1016/j.scitotenv.2021.150041. Epub 2021 Sep 1.

Abstract

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.

Keywords: Convolutional neural networks; Humanitarian demining; Organic semiconductors; REST sampling; Unmanned aerial vehicles.

MeSH terms

  • Animals
  • Bees
  • Bioaccumulation
  • Biological Monitoring
  • Dogs
  • Explosive Agents*
  • Specimen Handling
  • Surveys and Questionnaires

Substances

  • Explosive Agents