Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Sites Description
2.2. Passive and Active Spectra Measurement
2.3. Analytical Methods
2.4. Statistical Parameters
3. Results
3.1. Principal Components Analysis of ASD Spectra
3.2. Linear Regression Algorithms
3.3. Nonlinear Regression Algorithms
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Sensor | PLSR | LSBoost | Bag | ||||||
---|---|---|---|---|---|---|---|---|---|
R2 | RMSE | RE | R2 | RMSE | RE | R2 | RMSE | RE | |
MSL | 0.17 | 5.08 | 29.37 | 0.45 | 4.16 | 24.07 | 0.58 | 3.66 | 21.17 |
ASD | 0.56 | 3.76 | 21.75 | 0.61 | 3.47 | 20.03 | 0.72 | 3.21 | 18.53 |
HSL | 0.69 | 3.27 | 18.89 | 0.71 | 3.27 | 18.88 | 0.78 | 2.75 | 15.89 |
Sensor | Random Forest | BPNN | SVR | ||||||
MSL | 0.59 | 3.64 | 21.04 | 0.69 | 3.48 | 20.09 | 0.70 | 3.35 | 19.38 |
ASD | 0.72 | 3.21 | 18.54 | 0.77 | 3.09 | 17.88 | 0.73 | 2.94 | 16.98 |
HSL | 0.79 | 2.74 | 15.86 | 0.78 | 2.68 | 15.50 | 0.73 | 2.92 | 16.88 |
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Sun, J.; Yang, J.; Shi, S.; Chen, B.; Du, L.; Gong, W.; Song, S. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance. Remote Sens. 2017, 9, 951. https://doi.org/10.3390/rs9090951
Sun J, Yang J, Shi S, Chen B, Du L, Gong W, Song S. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance. Remote Sensing. 2017; 9(9):951. https://doi.org/10.3390/rs9090951
Chicago/Turabian StyleSun, Jia, Jian Yang, Shuo Shi, Biwu Chen, Lin Du, Wei Gong, and Shalei Song. 2017. "Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance" Remote Sensing 9, no. 9: 951. https://doi.org/10.3390/rs9090951