A Novel Resource-Constrained Insect Monitoring System based on Machine Vision with Edge AI

Amin Kargar, Mariusz P. Wilk, Dimitrios Zorbas, Michael T. Gaffney, Brendan Q'Flynn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Effective insect pest monitoring is a vital component of Integrated Pest Management (IPM) strategies. It helps to support crop productivity while minimising the need for plant protection products. In recent years, many researchers have considered the integration of intelligence into such systems in the context of the Smart Agriculture research agenda. This paper describes the development of a smart pest monitoring system, developed in accordance with specific requirements associated with the agricultural sector. The proposed system is a low-cost smart insect trap, for use in orchards, that detects specific insect species that are detrimental to fruit quality. The system helps to identify the invasive insect, Brown Marmorated Stink Bug (BMSB) or Halyomorpha halys (HH) using a Microcontroller Unit-based edge device comprising of an Internet of Things enabled, resource-constrained image acquisition and processing system. It is used to execute our proposed lightweight image analysis algorithm and Convolutional Neural Network (CNN) model for insect detection and classification, respectively. The prototype device is currently deployed in an orchard in Italy. The preliminary experimental results show over 70 percent of accuracy in BMSB classification on our custom-built dataset, demonstrating the proposed system feasibility and effectiveness in monitoring this invasive insect species.

Original languageEnglish
Title of host publication5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665462198
DOIs
Publication statusPublished - 2022
Event5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022 - Genova, Italy
Duration: Dec 5 2022Dec 7 2022

Publication series

Name5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022

Conference

Conference5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022
Country/TerritoryItaly
CityGenova
Period12/5/2212/7/22

Keywords

  • Deep Learning
  • Edge AI
  • Food Security
  • Image processing
  • Integrated Pest Monitoring
  • Machine Vision

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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