Towards a Decision Support System for the Automatic Detection of Asian Hornets and Removal Planning

Authors

  • Diogo Braga Interdisciplinary Studies Research Center, Institute of Engineering - Polytechnic of Porto R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal
  • Ana Madureira Interdisciplinary Studies Research Center, Institute of Engineering - Polytechnic of Porto R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal

Keywords:

Vespa velutina, Decision Support System, Computer Vision

Abstract

The rapid expansion of Asian hornets poses a high threat for the honey bee survival, as these invaders pray on them. Furthermore, they also pose a threat to people who are allergic, whose sting can lead to death. This study proposes a Decision Support System that uses Computer Vision techniques to automatically detect signs of Vespa velutina through images from GPS equipped camera. The goal of the system is to provide timely information about the presence of these invaders, allowing park managers and beekeepers to act quickly in removing the Vespidae. The proposed methodology obtained an 85% accuracy in the detection of V. velutina using the Mask RCNN architecture, enabling the system to perform detection at 3 FPS.

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Published

2020-01-01

How to Cite

Diogo Braga, & Ana Madureira. (2020). Towards a Decision Support System for the Automatic Detection of Asian Hornets and Removal Planning. International Journal of Computer Information Systems and Industrial Management Applications, 12, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/458

Issue

Section

Original Articles