Chin J Plant Ecol ›› 2010, Vol. 34 ›› Issue (6): 704-712.DOI: 10.3773/j.issn.1005-264x.2010.06.010
• Research Articles • Previous Articles Next Articles
ZHANG Yu-Sen, YAO Xia, TIAN Yong-Chao, CAO Wei-Xing, ZHU Yan*()
Received:
2009-07-07
Accepted:
2010-03-30
Online:
2010-07-07
Published:
2010-06-01
Contact:
ZHU Yan
ZHANG Yu-Sen, YAO Xia, TIAN Yong-Chao, CAO Wei-Xing, ZHU Yan. Estimating leaf nitrogen content with near infrared reflectance spectroscopy in rice[J]. Chin J Plant Ecol, 2010, 34(6): 704-712.
叶片状态 Form of leaf | 校正集 Calibration set | 检验集 Validation set | |||||||
---|---|---|---|---|---|---|---|---|---|
样品数 No. of sample | 变幅 Range (%) | 平均值 Mean (%) | 标准差 SD | 样品数 No. of sample | 变幅 Range (%) | 平均值 Mean (%) | 标准差SD | ||
鲜叶 Fresh leaf | 234 | 0.94-3.93 | 2.55 | 0.67 | 44 | 1.07-3.54 | 2.24 | 0.71 | |
干叶粉末 Leaf powder | 230 | 1.01-4.06 | 2.67 | 0.64 | 62 | 1.27-3.63 | 2.53 | 0.57 |
Table 1 Basic parameters of nitrogen content (NC) in calibration set and validation set
叶片状态 Form of leaf | 校正集 Calibration set | 检验集 Validation set | |||||||
---|---|---|---|---|---|---|---|---|---|
样品数 No. of sample | 变幅 Range (%) | 平均值 Mean (%) | 标准差 SD | 样品数 No. of sample | 变幅 Range (%) | 平均值 Mean (%) | 标准差SD | ||
鲜叶 Fresh leaf | 234 | 0.94-3.93 | 2.55 | 0.67 | 44 | 1.07-3.54 | 2.24 | 0.71 | |
干叶粉末 Leaf powder | 230 | 1.01-4.06 | 2.67 | 0.64 | 62 | 1.27-3.63 | 2.53 | 0.57 |
叶片状态 Form of leaf | 化学计量学方法 Chemical metrology method | 氮含量 NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 偏最小二乘法 PLS | 0.945 | 0.228 | 0.390 |
主成分回归 PCR | 0.472 | 0.568 | 0.979 | |
逐步多元回归 SMLR | 0.426 | 0.602 | 0.907 | |
叶片粉末 Leaf powder | 偏最小二乘法 PLS | 0.962 | 0.176 | 0.133 |
主成分回归 PCR | 0.821 | 0.365 | 0.415 | |
逐步多元回归 SMLR | 0.741 | 0.429 | 0.410 |
Table 2 Comparison of model performance for nitrogen content (NC) prediction by different methods
叶片状态 Form of leaf | 化学计量学方法 Chemical metrology method | 氮含量 NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 偏最小二乘法 PLS | 0.945 | 0.228 | 0.390 |
主成分回归 PCR | 0.472 | 0.568 | 0.979 | |
逐步多元回归 SMLR | 0.426 | 0.602 | 0.907 | |
叶片粉末 Leaf powder | 偏最小二乘法 PLS | 0.962 | 0.176 | 0.133 |
主成分回归 PCR | 0.821 | 0.365 | 0.415 | |
逐步多元回归 SMLR | 0.741 | 0.429 | 0.410 |
叶片状态 Form of leaf | 光谱预处理方法 Spectral-pretreatment method | 氮含量NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 原始光谱 Original spectrum | 0.945 | 0.228 | 0.390 |
基线校正 Baseline correction | 0.945 | 0.218 | 0.290 | |
一阶导数 First derivative | 0.976 | 0.144 | 0.553 | |
二阶导数 Second derivative | 0.922 | 0.257 | 0.840 | |
多元散射校正 (multiplicative signal correction, MSC) | 0.927 | 0.248 | 0.297 | |
Norris平滑 (norris derivative filter, NDF) | 0.944 | 0.219 | 0.421 | |
First derivative + MSC | 0.972 | 0.155 | 0.471 | |
First derivative + MSC + NDF | 0.931 | 0.284 | 0.411 | |
叶片粉末 Leaf powder | 原始光谱 Original spectrum | 0.962 | 0.176 | 0.133 |
基线校正 Baseline correction | 0.961 | 0.176 | 0.133 | |
一阶导数 First derivative | 0.975 | 0.143 | 0.208 | |
二阶导数 Second derivative | 0.954 | 0.151 | 0.565 | |
多元散射校正 MSC | 0.951 | 0.197 | 0.120 | |
Norris平滑 NDF | 0.961 | 0.177 | 0.144 | |
First derivative + MSC | 0.969 | 0.159 | 0.210 | |
First derivative + MSC + NDF | 0.967 | 0.166 | 0.209 |
Table 3 Comparison of model performance for (nitrogen content, NC) prediction with different spectral-pretreatment methods
叶片状态 Form of leaf | 光谱预处理方法 Spectral-pretreatment method | 氮含量NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 原始光谱 Original spectrum | 0.945 | 0.228 | 0.390 |
基线校正 Baseline correction | 0.945 | 0.218 | 0.290 | |
一阶导数 First derivative | 0.976 | 0.144 | 0.553 | |
二阶导数 Second derivative | 0.922 | 0.257 | 0.840 | |
多元散射校正 (multiplicative signal correction, MSC) | 0.927 | 0.248 | 0.297 | |
Norris平滑 (norris derivative filter, NDF) | 0.944 | 0.219 | 0.421 | |
First derivative + MSC | 0.972 | 0.155 | 0.471 | |
First derivative + MSC + NDF | 0.931 | 0.284 | 0.411 | |
叶片粉末 Leaf powder | 原始光谱 Original spectrum | 0.962 | 0.176 | 0.133 |
基线校正 Baseline correction | 0.961 | 0.176 | 0.133 | |
一阶导数 First derivative | 0.975 | 0.143 | 0.208 | |
二阶导数 Second derivative | 0.954 | 0.151 | 0.565 | |
多元散射校正 MSC | 0.951 | 0.197 | 0.120 | |
Norris平滑 NDF | 0.961 | 0.177 | 0.144 | |
First derivative + MSC | 0.969 | 0.159 | 0.210 | |
First derivative + MSC + NDF | 0.967 | 0.166 | 0.209 |
叶片状态 Form of leaf | 波数范围 Range of wave numbers (cm-1) | 氮含量NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 12 500-4 000 | 0.945 | 0.218 | 0.390 |
8 000-4 500 | 0.940 | 0.226 | 0.442 | |
8 000-6 000 | 0.932 | 0.240 | 0.573 | |
6 700-5 500 | 0.935 | 0.236 | 0.398 | |
5 500-4 500 | 0.925 | 0.236 | 0.403 | |
叶片粉末 Leaf powder | 12 500-4 000 | 0.962 | 0.176 | 0.133 |
8 000-4 500 | 0.951 | 0.201 | 0.129 | |
8 000-6 000 | 0.946 | 0.207 | 0.210 | |
6 700-5 500 | 0.966 | 0.165 | 0.161 | |
5 500-4 500 | 0.944 | 0.210 | 0.141 |
Table 4 Performance comparisons of nitrogen content (NC) prediction models with different range of wave numbers
叶片状态 Form of leaf | 波数范围 Range of wave numbers (cm-1) | 氮含量NC | ||
---|---|---|---|---|
RC2 | RMSEC | RMSEP | ||
鲜叶 Fresh leaf | 12 500-4 000 | 0.945 | 0.218 | 0.390 |
8 000-4 500 | 0.940 | 0.226 | 0.442 | |
8 000-6 000 | 0.932 | 0.240 | 0.573 | |
6 700-5 500 | 0.935 | 0.236 | 0.398 | |
5 500-4 500 | 0.925 | 0.236 | 0.403 | |
叶片粉末 Leaf powder | 12 500-4 000 | 0.962 | 0.176 | 0.133 |
8 000-4 500 | 0.951 | 0.201 | 0.129 | |
8 000-6 000 | 0.946 | 0.207 | 0.210 | |
6 700-5 500 | 0.966 | 0.165 | 0.161 | |
5 500-4 500 | 0.944 | 0.210 | 0.141 |
叶片状态 Form of leaf | 校正 Calibration | 内部检验 Cross-validation | 外部检验 Validation | |||||
---|---|---|---|---|---|---|---|---|
RC2 | RMSEC | RCV2 | RMSECV | RV2 | RMSEP | |||
鲜叶 Fresh leave | 0.940 | 0.226 | 0.866 | 0.243 | 0.840 | 0.477 | ||
干叶粉末 Leaf powder | 0.977 | 0.136 | 0.900 | 0.202 | 0.944 | 0.142 |
Table 5 The statistic parameters of calibration, cross-validation and validation for NIRs models
叶片状态 Form of leaf | 校正 Calibration | 内部检验 Cross-validation | 外部检验 Validation | |||||
---|---|---|---|---|---|---|---|---|
RC2 | RMSEC | RCV2 | RMSECV | RV2 | RMSEP | |||
鲜叶 Fresh leave | 0.940 | 0.226 | 0.866 | 0.243 | 0.840 | 0.477 | ||
干叶粉末 Leaf powder | 0.977 | 0.136 | 0.900 | 0.202 | 0.944 | 0.142 |
Fig. 3 The 1:1 relationship between the predicted and observed values in cross validation for NIR models. A, Fresh leaf nitrogen content; B, Leaf powder nitrogen content.
Fig. 4 The 1:1 relationship between the predicted and observed values in validation for NIR models of rice. A, Fresh leaf nitrogen content; B, Leaf powder nitrogen content.
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