英文文献:Decision Support System for Soybean Rust (Phakopsora pachyrhizi) Management using QnD-基于QnD的大豆锈病管理决策支持系统本项目的目标是利用游戏软件设计一个大豆锈病管理决策支持系统,结合农民面对大豆锈病风险的决策
英文文献作者:Kiker, Greg,Ranjan, Ram
英文文献摘要:
The objective of this project is to design a decision support system for soybean rust management using gaming software that incorporates farmer's decision making in the face of risks from soybean rust. Learning from past actions and neighbor's actions are also incorporated. Farmers observe rust outbreak in the current and past periods and decide over how much of land to allocate between soybean, corn and other crops. This decision is influenced by maximization of expected profits criterion which entails crop rotation choices that are based upon perceived risks, yield drags and input costs from altering optimum rotation patterns. Adoption of new technology in terms of selecting better rust management practices is also analyzed in an adaptive management framework. The software meets the need of guiding policy formulation besides training stakeholders in making economically sound choices in the absence of empirical data over pest infestation.
从过去的行为和邻居的行为中学习也被纳入其中。农民观察当前和过去锈病的爆发,并决定在大豆、玉米和其他作物之间分配多少土地。这一决策受到预期利润最大化标准的影响,要求根据改变最佳轮作模式的感知风险、产量滞后和投入成本进行轮作选择。采用新技术,选择更好的锈管理实践,也分析了适应性管理框架。该软件满足指导政策制定的需要,并培训利益攸关方在缺乏虫害方面的经验数据的情况下作出经济上合理的选择。


雷达卡


京公网安备 11010802022788号







