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

Authors:
Viet Xuan Truong;Hiep Xuan Huynh;Minh Ngoc Le;Alexis Drogoul
Affiliations:
UMI 209 UMMISCO-IRD/UPMC, Bondy, France;DREAM Team/UMI 209 UMMISCO-IRD, Can Tho University, Vietnam;Faculty of Computer Science & Engineering, HCMUT, Ho Chi Minh city, Vietnam;UMI 209 UMMISCO-IRD/UPMC, Bondy, France
Venue:
AMT'11 Proceedings of the 7th international conference on Active media technology
Year:
2011

Citing 5
Cited 1

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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.