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Estimating the density of brown plant hoppers from a light-traps network based on unit disk graph

Published: 07 September 2011 Publication History

Abstract

This paper is aimed at introducing a new approach to estimate the density of Brown Plant Hoppers (BPHs) at provincial scale. The model is based on the topology of a light-traps network (to gather the information about the BPHs) of a province. The BPHs density is determined based on Unit Disk Graph technique where each light-trap becomes a vertex and the edges reflect the relations on the mutual transfer of BPHs between light-traps. The model uses the historical light-traps data as the input to estimate the density of unknown location via an influence function. The experimental results of the model are performed in a typical province of the Mekong Delta region, namely Dong Thap province of Vietnam.

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Cited By

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  • (2011)Modeling the brown plant hoppers surveillance network using agent-based modelProceedings of the 2nd Symposium on Information and Communication Technology10.1145/2069216.2069243(127-136)Online publication date: 13-Oct-2011

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Published In

cover image Guide Proceedings
AMT'11: Proceedings of the 7th international conference on Active media technology
September 2011
354 pages
ISBN:9783642236198
  • Editors:
  • Ning Zhong,
  • Vic Callaghan,
  • Ali A. Ghorbani,
  • Bin Hu

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 07 September 2011

Author Tags

  1. BPH
  2. agent-based model
  3. density estimation
  4. influence function
  5. light trap
  6. regression
  7. unit disk graph (UDG)

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  • (2011)Modeling the brown plant hoppers surveillance network using agent-based modelProceedings of the 2nd Symposium on Information and Communication Technology10.1145/2069216.2069243(127-136)Online publication date: 13-Oct-2011

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