Research Article
Optimizing the Light Trap Position for Brown Planthopper (BPH) Surveillance Network
448 downloads
@INPROCEEDINGS{10.1007/978-3-319-46909-6_16, author={Huong Luong and Tuyen Truong and Ky Nguyen and Bao Lam and Hiep Huynh}, title={Optimizing the Light Trap Position for Brown Planthopper (BPH) Surveillance Network}, proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers}, proceedings_a={ICTCC}, year={2017}, month={1}, keywords={Light trap BPH Surveillance Network Optimization Optimal-design HoneyComb}, doi={10.1007/978-3-319-46909-6_16} }- Huong Luong
Tuyen Truong
Ky Nguyen
Bao Lam
Hiep Huynh
Year: 2017
Optimizing the Light Trap Position for Brown Planthopper (BPH) Surveillance Network
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_16
Abstract
To forecast the population of brown planthopper (BPH), a major insect pest of rice in Mekong Delta in Viet Nam, a light trap network is used in the experiments where the BPH trapped density is considered as monitoring called BPH light trap surveillance network (BSNET). There are two problems in order to deploy the BSNET: the number of the light traps and their positions. In this paper, we propose a new approach to optimize the BSNET by determining the number of light traps needed and the position for every light trap node in the surveillance region based on architecture. The experiment results are performed on the Brown Planthoppers surveillance network for Mekong Delta in Viet Nam.
Copyright © 2016–2024 EAI
