云计算环境下农业生物多样性控害智能决策方法研究

Using Biodiversity to control crop pests and diseases is the current domestic and international research focus. Cloud computing environments have advantages such as on-demand service, fast and flexible, ultra-large-scale, scalability, versatility and so on.Taking advantage of the above characteristics,combining with the principle of agricultural biodiversity controling of pests and diseases, using the algorithm of multi-objective particle swarm ,the algorithm of evolutionary ,CBR and other methods of Artificial Intelligence,this paper conducts a deep research of critical theories and methods of decision support on agricultural biodiversity controlling pests and diseases under cloud computing environment.Specific research as following:(1) Knowledge dynamic aggregation theory and methods of decision-making on agricultural biodiversity to control pests and diseases under cloud computing environment （2）Time and space configuration model of agricultural biodiversity controlling pests and diseases （3）Collaborative solving mechanism towards agricultural biodiversity controlling pests and diseases under the cloud computing environment.These research above will offer new method and ideas for the solution of decision-making of agricultural biodiversity controlling pests and diseases under cloud computing environment.And this will provide efficient and feasible optimization of intelligent decision support methods for the new approach of harmonious development of Agricultural production and agricultural biodiversity conservation.This project is an useful and innovative exploration of modern information technology on the area of biodiversity and agricultural pest control,which has an important theoretical and practical significance.

生物多样性控制作物病虫害是当前国内外研究的热点。利用云计算环境所具有的按需服务、快速灵活、超大规模、可扩展、通用性等特点，结合农业生物多样性控制病虫害的原理，通过多目标粒子群算法、进化算法和CBR等人工智能方法，深入研究云计算环境下农业生物多样性控害决策支持关键理论与方法，具体研究内容有：（1）云计算环境下农业生物多样性控害决策知识动态聚合理论与方法；（2）农业生物多样性控害时空配置模型及建模方法；（3）云计算环境下面向农业生物多样性控制病虫害决策问题的协同求解方法。以上研究将为云计算环境下农业生物多样性控害决策问题的求解提供新的思路和方法，为探索农业生产与农业生物多样性保护和谐发展的新途径，提供高效、可行的优化智能决策支持方法。本课题研究是现代信息技术在生物多样性和农业病虫害控制研究领域一次有益的具有创新性的探索，具有重要的理论与实践意义。

生物多样性控制作物病虫害是当前国内外研究的热点。利用云计算环境所具有得按需服务、快速灵活、超大规模、可扩展、通用性等特点，结合农业生物多样性控制病虫害的原理，深入研究云计算环境下农业生物多样性控害决策支持关键理论与方法，初步实现了云计算环境下，生物多样性控害决策数据资源基于语义的动态聚合和共享；提出了农业生物多样性控害时空配置模型及建模方法；提出了面向农业生物多样性控制病虫害决策问题的协同求解机制。以上研究成果将为云计算环境下农业生物多样性控害决策问题的求解提供新的思路和方法，是现代信息技术在生物多样性和农业病虫害控制研究领域一次有益的具有创新性的探索，具有重要的理论与实践意义。

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