Anticipating the establishment of pest reservoirs, and therefore pest infestation in sugarcane agrosystems, is a challenge for the implementation of integrated pest management (IPM) programs. The 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. According to an observed damage, KBBI suggests the wild and cultivated plants that host the potential pests previously identified by DECIPESTS. The comparison with a local floristic inventory enables to determine pest reservoirs. Applied to a case study in Senegal, the system showed, for instance, that Eldana 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. This latter result indicates that the management of Eldana saccharina has to be tackled jointly by local farmers to be successful. While 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.

中文翻译：

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甘蔗害虫库确定的决策支持系统

预期建立有害生物库，从而在甘蔗农业系统中进行有害生物侵扰，对于实施综合有害生物管理（IPM）计划是一个挑战。这项工作的目的是开发一个决策支持系统，该系统建议位于生产区域的寄主植物物种和有害生物天敌。开发了知识库系统（KBBI），并将其与DECIPESTS耦合，DECIPESTS是用于甘蔗PEST管理的决策支持系统。根据观察到的损害，KBBI建议野生和栽培植物中含有先前由DECIPESTS确定的潜在有害生物。与当地植物种类清单进行比较可以确定有害生物库。在塞内加尔的一个案例研究中，该系统显示了例如Eldana saccharina可以由位于灌溉渠中的9种野生植物和该地区具有社会经济意义的两种相邻栽培作物作为寄主。后一个结果表明，当地农民必须共同解决Eldana saccharina的管理问题。尽管DECIPESTS使用战术方法来确定有害生物侵扰的可能原因，但它与KBBI的结合使其成为增强本地IPM策略的战略工具。