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Estimating the Density of Brown Plant Hoppers from a Light-Traps Network Based on Unit Disk Graph

2011; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-23620-4_30

1611-3349

Viet Xuan Truong, Hiep Xuan Huynh, Minh Ngoc Le, Alexis Drogoul,

Oil Palm Production and Sustainability

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.