基于高光谱的水稻叶片氮含量估计的深度森林模型研究

李金敏, 陈秀青, 杨琦, 史良胜

Deep learning models for estimation of paddy rice leaf nitrogen concentration based on canopy hyperspectral data

LI Jin-Min, CHEN Xiu-Qing, YANG Qi, SHI Liang-Sheng

表5 2种深度学习模型对水稻叶片含氮量估算效果分析

Table 5 Model performance analysis by two deep learning models

回归模型 Regression model 光谱波段 Band 范围 Range (nm) 建模集 Calibration set 预测集 Prediction set R2c RMSEc R2p RMSEp 多层感知器 Multi-layer perceptron 全波段Full-wave band 350-2500 0.937 0.282 0.872 0.392 可见光波段Visible waveband 400-760 0.876 0.397 0.858 0.412 近红外波段Near-infrared waveband 760-2500 0.932 0.293 0.860 0.408 深度森林 Deep forest 全波段Full-wave band 350-2500 0.981 0.151 0.919 0.327 可见光波段Visible waveband 400-760 0.978 0.165 0.903 0.358 近红外波段Near-infrared waveband 760-2500 0.979 0.162 0.917 0.330