基于机器学习的滴灌玉米光合响应特征

刘慧芳,贺正,贾彪,刘志,李振洲,付江鹏,慕瑞瑞,康建宏

Photosynthetic Response Characteristics of Maize Under Drip Irrigation Based on Machine Learning

HuiFang LIU,Zheng HE,Biao JIA,Zhi LIU,ZhenZhou LI,JiangPeng FU,RuiRui MU,JianHong KANG

表2 2种计算分析方法对玉米光响应曲线的模拟精度

Table 2 Simulation accuracy of two kinds of calculation methods on maize light response curve

年份 Year 方法 Method 处理 Treatment RMSE MAE R2 2017 非线性回归分析法 Nonlinear regression analysis K0 2.030 1.869 0.990 K1 1.319 1.079 0.992 K2 1.147 0.899 0.993 K3 0.828 0.656 0.995 K4 0.610 0.498 0.994 K5 0.446 0.379 0.995 网格搜索法 Grid search method K0 1.335 1.096 0.993 K1 1.312 1.092 0.993 K2 0.952 0.622 0.994 K3 0.708 0.617 0.995 K4 0.546 0.504 0.996 K5 0.662 0.557 0.995 2018 非线性回归分析法 Nonlinear regression analysis K0 1.827 1.445 0.987 K1 1.731 1.323 0.991 K2 0.872 0.733 0.993 K3 0.858 0.717 0.994 K4 0.644 0.566 0.996 K5 0.312 0.226 0.997 网格搜索法 Grid search method K0 1.487 1.350 0.991 K1 0.975 0.860 0.993 K2 0.839 0.716 0.993 K3 0.774 0.620 0.995 K4 0.750 0.637 0.996 K5 0.330 0.315 0.996