基于无人机多光谱数据和氮素空间分异的玉米冠层氮浓度估算

郝琪, 陈天陆, 王富贵, 王振, 白岚方, 王永强, 王志刚

Estimation of canopy nitrogen concentration in maize based on UAV multi- spectral data and spatial nitrogen heterogeneity

HAO Qi, CHEN Tian-Lu, WANG Fu-Gui, WANG Zhen, BAI Lan-Fang, WANG Yong-Qiang, WANG Zhi-Gang

图9 随机森林回归和支持向量回归在玉米V9 (A, E)、V12 (B, F)、R1 (C, G)和R3 (D, H)在测试集估算冠层氮浓度的性能 缩略词同表2和图8。

Fig. 9 Performance of Random Forest Regression and Support Vector Regression for estimating canopy nitrogen concentrations in corn V9 (A, E), V12 (B, F), R1 (C, G), and R3 (D, H) in test set Abbreviations are the same as those given in Table 2 and Fig. 8.