Spatial estimator of brown plant hopper density from light traps data 2012 IEEE RIVF international conference on computing and communication technologies, research, innovation, and vision for the future Vinh Khai Huynh /Zucker, Jean-Daniel Hiep Xuan Huynh /Drogoul, Alexis This paper aims to define an optimal interpolation technique to estimate the density of brown plant hopper (BPH) in Dongthap Province among the Mekong delta in Vietnam. The technique is chosen by assessment between the two methods: Inverse Distance Weight and Ordinary Kriging. First, sample data of light-traps are analyzed by the two mentioned methods running on R packages. Second, the results are visualized on the multi-agent system (GAMA) combined with the geographic information system (GIS). As a result, managers can easily survey the density of BPH populations on rice fields to control the damage of BPH more effectively and bring in higher yield for farmers. IEEE 2012 text https://www.documentation.ird.fr/hor/fdi:010079279 fdi:010079279 Vinh Khai Huynh, Zucker Jean-Daniel, Hiep Xuan Huynh, Drogoul Alexis. Spatial estimator of brown plant hopper density from light traps data. In : . 2012 IEEE RIVF international conference on computing and communication technologies, research, innovation, and vision for the future IEEE, 2012, 1-6 International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, Ho-Chi-Minh Ville (VNM), 2012/02/27-03/01 EN VIET NAM MEKONG BASSIN