Vibro-acoustic methods of insect detection in agricultural shipments and wood packing materials

Alexander Sutin, Timothy Flynn, Hady Salloum, Nikolay Sedunov, Yegor Sinelnikov, Helen Hull-Sanders

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Stevens Institute of Technology has been investigating engineering solutions to augment the current inspection process at ports of entry in an effort to minimize the threat posed by invasive species. Stevens has built several sensitive acoustic systems for detection of tiny acoustic/vibrational signals produced by moving insects and tested them in two US ports of entry and at the USDA APHIS PPQ S&T facility in Buzzards Bay, MA. The system for insect detection in vegetables and herbs uses a soundproofed case where boxes filled with vegetables or herbs were placed during the test. For wood boring insects, sensitive custom-made accelerometers were built. Special algorithms for detection of events connected with insect movement and separating them from the ambient noise were developed. The tests demonstrating the system ability for insect detection were conducted with several representative insects, including: Khapra beetles in rice, Copitarsia larva and Helicoverpa zea in a large box of vegetables, and Asian Longhorned Beetles and Emerald Ash Borers in wood.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
ISBN (Electronic)9781509063567
DOIs
StatePublished - 7 Jun 2017
Event2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017 - Waltham, United States
Duration: 25 Apr 201726 Apr 2017

Publication series

Name2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017

Conference

Conference2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
Country/TerritoryUnited States
CityWaltham
Period25/04/1726/04/17

Keywords

  • Invasive species
  • Vibro-acoustic detection

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