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

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. © 2011 Springer-Verlag.