@incollection{fdi:010079279,
  title = {{S}patial estimator of brown plant hopper density from light traps data},
  author = {{V}inh {K}hai {H}uynh and {Z}ucker, {J}ean-{D}aniel and {H}iep {X}uan {H}uynh and {D}rogoul, {A}lexis},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper aims to define an optimal interpolation technique to estimate the density of brown plant hopper ({BPH}) in {D}ongthap {P}rovince among the {M}ekong delta in {V}ietnam. {T}he technique is chosen by assessment between the two methods: {I}nverse {D}istance {W}eight and {O}rdinary {K}riging. {F}irst, sample data of light-traps are analyzed by the two mentioned methods running on {R} packages. {S}econd, the results are visualized on the multi-agent system ({GAMA}) combined with the geographic information system ({GIS}). {A}s 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.},
  keywords = {{VIET} {NAM} ; {MEKONG} {BASSIN}},
  booktitle = {2012 {IEEE} {RIVF} international conference on computing and communication technologies, research, innovation, and vision for the future},
  numero = {},
  pages = {1--6},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2012},
  DOI = {10.1109/rivf.2012.6169850},
  ISBN = {978-1-4673-0307-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079279},
}