@article{fdi:010079055,
  title = {{A} decision support system for determining sugarcane pest reservoir},
  author = {{M}artin, {P}. and {S}ilvie, {P}ierre and {M}arnotte, {P}. and {G}oebel, {F}. {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}nticipating the establishment of pest reservoirs, and therefore pest infestation in sugarcane agrosystems, is a challenge for the implementation of integrated pest management ({IPM}) programs. {T}he objective of this work was to develop a decision support system that suggests host plant species and pest natural enemies located in a production area. {A} knowledge base system ({KBBI}) was developed and coupled to {DECIPESTS}, a decision support system for {PEST} management in sugarcane. {A}ccording to an observed damage, {KBBI} suggests the wild and cultivated plants that host the potential pests previously identified by {DECIPESTS}. {T}he comparison with a local floristic inventory enables to determine pest reservoirs. {A}pplied to a case study in {S}enegal, the system showed, for instance, that {E}ldana saccharina can be hosted by nine wild plant species located in the irrigation canals and two neighboring cultivated crops of socioeconomic importance in the area. {T}his latter result indicates that the management of {E}ldana saccharina has to be tackled jointly by local farmers to be successful. {W}hile {DECIPESTS} uses a tactical approach to identify possible causes of pest infestation, its combination with {KBBI} makes it a strategic tool to enhance {IPM} strategy at a local scale.},
  keywords = {{IPM} ; {B}iological interrelations ; {H}abitat management ; {D}ecision support system ; {K}nowledge management},
  booktitle = {},
  journal = {{S}ugar {T}ech},
  volume = {22},
  numero = {4},
  pages = {655--661},
  ISSN = {0972-1525},
  year = {2020},
  DOI = {10.1007/s12355-020-00826-x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079055},
}