| 光谱学与光谱分析 |
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| Study on NPLS Model with Three-Dimensional Hyperspectrum for Assessing Per-Mu-Yield of Winter Wheat |
| WANG Tao1, ZHANG Lu-da1*, LAO Cai-lian2, ZHAO Long-lian2, LI Jun-hui2, WANG Zhong-yi2,HUANG Wen-jiang3, WANG Ji-hua3, YAN Yan-lu2 |
1. College of Science, China Agricultural University, Beijing 100094, China
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100094, China
3. Beijing Agriculture Information Technology Research Center, Beijing 100089, China |
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Abstract The present study piled a cube array with the winter wheat’s cap reflection hyperspectra sampled from 35 experimental districts during 8 growth periods, and then used a multiway partial least squares (NPLS) algorithm to establish a model to assess the per-mu-yield of winter wheat. The model was used to predict the per-mu-yields of other 13 experimental districts. The correlation coefficient of predicted and actual values was 0.936 6, and the mean relative error was 4.44%. These results showed a good prediction of the model. The study has guiding meaning to actual yield assessment.
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Received: 2005-04-28
Accepted: 2005-08-08
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Corresponding Authors:
ZHANG Lu-da
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| Cite this article: |
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WANG Tao,ZHANG Lu-da,LAO Cai-lian, et al. Study on NPLS Model with Three-Dimensional Hyperspectrum for Assessing Per-Mu-Yield of Winter Wheat[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(10): 1915-1917.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2006/V26/I10/1915 |
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