@incollection{fdi:010057533,
  title = {{T}oward an agent-based multi-scale recommendation system for brown plant hopper control},
  author = {{V}inh {G}ia {N}hi {N}guyen and {D}rogoul, {A}lexis and {H}iep {X}uan {H}uynh},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ice pest control problem is multi-disciplinary in scope and includes multi-scale processes. {B}rown plant hopper is one of the most destructive pests of rice, there are potential risks for rice production if population of this insect is high. {I}n this paper, an agent-based multi-scale model is made of agentbased sub-models in different studies, this model works as a {B}rown plant hopper recommendation system and supports experts to simulate {B}rown plant hopper control strategies. {T}his recommendation system includes sub-models that have different functions: growth and invasion models of {B}rown plant hopper, upscaling and downscaling information models. {S}imulation results of {B}rown plant hopper management strategies help stakeholders assess {B}rown plant hopper infestation status of rice areas and make recommendation messages to farmers},
  keywords = {{RIZICULTURE} ; {LUTTE} {PHYTOSANITAIRE} ; {INSECTE} {NUISIBLE} ; {VIRUS} ; {INFESTATION} ; {METHODE} {DE} {LUTTE} ; {INSECTICIDE} ; {DYNAMIQUE} {DE} {POPULATION} ; {AIDE} {A} {LA} {DECISION} ; {MODELISATION} ; {SYSTEME} {EXPERT} ; {SYSTEME} {MULTI} {AGENT} ; {TRANSFERT} {D}'{ECHELLE} ; {VIET} {NAM} ; {MEKONG} {BASSIN}},
  booktitle = {{UKS}im-{AMSS} : 6th european modelling symposium : proceedings},
  numero = {},
  pages = {9--14},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2012},
  DOI = {10.1109/{EMS}.2012.18},
  ISBN = {978-0-7695-4926-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057533},
}