黄桃表面缺陷和可溶性固形物光谱同时在线检测
表面缺陷和可溶性固形物是评价黄桃品质的重要指标,采用可见/近红外漫透射光谱技术,探讨黄桃表面缺陷与可溶性固形物同时在线检测的可行性。在运动速度为5个/s、积分时间100 ms、光照强度1 000 W的条件下采集黄桃表面缺陷果与正常果的近红外漫透射光谱。对比分析了同一个黄桃样品损伤前后的光谱特征,建立了黄桃的最小二乘支持向相机判别模型与偏最小二乘判别模型。同时建立了黄桃可溶性固形物偏最小二乘回归模型并采用连续投影算法对模型进行优化,研究了表面缺陷果对黄桃可溶性固形物检测模型精度的影响,最终实现了黄桃表面缺陷与可溶性固形物同时在线检测。采用未参与建模的样品来评价模型的在线分选的准确性,其中表面缺陷...
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Published in | 农业工程学报 Vol. 32; no. 6; pp. 289 - 295 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
华东交通大学机电工程学院,南昌,330013
2016
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Subjects | |
Online Access | Get full text |
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Summary: | 表面缺陷和可溶性固形物是评价黄桃品质的重要指标,采用可见/近红外漫透射光谱技术,探讨黄桃表面缺陷与可溶性固形物同时在线检测的可行性。在运动速度为5个/s、积分时间100 ms、光照强度1 000 W的条件下采集黄桃表面缺陷果与正常果的近红外漫透射光谱。对比分析了同一个黄桃样品损伤前后的光谱特征,建立了黄桃的最小二乘支持向相机判别模型与偏最小二乘判别模型。同时建立了黄桃可溶性固形物偏最小二乘回归模型并采用连续投影算法对模型进行优化,研究了表面缺陷果对黄桃可溶性固形物检测模型精度的影响,最终实现了黄桃表面缺陷与可溶性固形物同时在线检测。采用未参与建模的样品来评价模型的在线分选的准确性,其中表面缺陷果的正确判断率为100%,可溶性固形物分选准确率达到93%。试验结果表明:黄桃表面缺陷与可溶性固形物同时在线检测是可行的,研究可为黄桃在线分选提供技术参考和理论依据。 |
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Bibliography: | Surface deficiency and soluble solid content(SSC) are important indexes for evaluating the quality of Amygdalus persica. The feasibility was investigated for detecting surface deficiency and SSC of intact Amygdalus persica simultaneously by online visible-near infrared(visible-NIR) transmittance spectroscopy. Ten tungsten halogen lamps were installed in a sorting line. The power of each lamp was 100 watt. The light sources were illuminated from both sides of the production line, and the detector received light from the bottom of the fruit cup. The spectrum of each sample was recorded automatically by using the hardware trigger mode. The index plate and driving gear were mounted on the same shaft. The location of the index plate′s tooth was matched with the location of the fruit cup. Hall sensor was placed at a height of 2 mm above the tooth of the index plate. When the index plate turned one tooth, a Hall sensor sent a 3.5 V high frequency signal to trigger spectrometer to save one spectrum. The spectra were |
ISSN: | 1002-6819 |
DOI: | 10.11975/j.issn.1002-6819.2016.06.040 |