| Autor: |
Xululu, Sun Laijun, Qian Haibo, MaYonghua, Dai Changjun, Wang Lekai, Liu Hexiao, Liu Mingliang, Su Ping |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
2011 International Conference on New Technology of Agricultural. |
| DOI: |
10.1109/icae.2011.5943946 |
| Popis: |
The subsidence value is an synthesis target to evaluate the wheat quality. NIRS (Near Infrared Transmittance Spectroscopy) is a new method for quality analysis of wheat with its quick, simple, accurate and nondestructive characteristic. In this paper, spectral data were dealt with moving window average method and second differential and SNV analysis firstly, on the basis of which, the partial least squares model was established. The experiment results indicated that the R and MSE were 0.9809 and 0.1130 respectively. In contrast with the calibration model built with the original data, the predicted results can basically complete the grain reserves and the food processing profession division and the breeding preliminary generation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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