基于增强回归树的海河平原小麦赤霉病预测模型构建与验证

陶晡,齐永志,屈赟,曹志艳,赵绪生,甄文超

Construction and Verification of Fusarium Head Blight Prediction Model in Haihe Plain Based on Boosted Regression Tree

TAO Bu,QI YongZhi,QU Yun,CAO ZhiYan,ZHAO XuSheng,ZHEN WenChao

图5 同年份多监测点的多元线性回归、增强回归树模型小麦赤霉病预测值与观测值对比 MLRⅠ、MLRⅡ分别为含8个、4个预测变量的多元线性回归模型;BRTⅠ、BRTⅡ分别为含8个、4个预测变量的增强回归树模型 MLRⅠand MLRⅡ represent the multiple linear regression model with 8 and 4 predictive variables, respectively. BRTⅠand BRTⅡrepresent the boosted regression tree model with 8 and 4 predictive variables, respectively。图6同The same as Fig. 6

Fig. 5 Comparison between the observed and predicted values of multivariate linear regression and BRT models of FHB in multiple monitoring sites in the same year