光谱学与光谱分析 |
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Maturity Qualitative Discrimination of Small Watermelon Fruit |
LI Yong-yu1, ZHAO Hong-wei2, CHANG Dong1, HAN Dong-hai2* |
1. College of Engineering, China Agricultural University, Beijing 100083, China 2. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China |
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Abstract Dividing watermelons into two categories as not complete mature and fully mature by cluster analyzing the 10 indicators associated with maturity, the two modeling methods PCADA and PLSDA were used, and through the near-infrared spectroscopy, the maturity of small watermelon fruit JINGXIU was qualitatively determined. The PCADA model is the best. Modeling at the top position is better than that of the equatorial parts of the melon. The two models both have a miscarriage of justice, and exists the same sample with a miscarriage of justice. Fruit samples of different physical and chemical composition and structure will have an impact on the spectral information, resulting in miscarriage of justice. Near-infrared diffuse transmittance technique can get better results in detection of small watermelon maturity. But the prediction model should be established to select the appropriate parts of the spectrum acquisition and modeling methods.
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Received: 2011-11-24
Accepted: 2012-03-12
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Corresponding Authors:
HAN Dong-hai
E-mail: handh@cau.edu.cn
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