Dexi model for: "Improved forecasting of coffee leaf rust by qualitative modeling: design and expert validation of the ExpeRoya model"

Dexi version of ExpeRoya model. The model structure is a tree that aggregates variables in a hierarchical way according to available knowledge on coffee leaf rust (CLR) and coffea arabica (the host) dynamics. ExpeRoya integrates 229 multiple interactions that exist within the CLR-coffee pathosystem based on 12 input variables: one incidence monitoring variable; two meteorological variables (temperature and rainfall), four crop management variables (management of shade cover, fungicide application, nutrition and pruning of coffee trees) and five coffee tree characteristics (dates of flowering, beginning and end of harvest, fruit load and cultivar genetic resistance).本数据集为ExpeRoya模型的Dexi版本。该模型采用树状结构，依据关于咖啡叶锈病（coffee leaf rust, CLR）与阿拉伯咖啡（Coffea arabica，宿主）动态的现有研究知识，以层级化方式聚合各类变量。ExpeRoya模型整合了CLR-咖啡病害系统内存在的229种互作关系，其输入变量共12项：1项发病率监测变量、2项气象变量（温度与降雨量）、4项作物管理变量（遮阴覆盖管理、杀菌剂施用、养分管理及咖啡树修剪），以及5项咖啡树特性变量（开花日期、收获起止日期、挂果量及品种遗传抗性）。