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首页> 外文会议>Sensing for Agriculture and Food Quality and Safety VIII >Relationship between shelf-life and optical properties of 'Yuanhuang' pear in the region of 400-1150 nm
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Relationship between shelf-life and optical properties of 'Yuanhuang' pear in the region of 400-1150 nm

机译：圆黄梨在400-1150 nm范围内货架期与光学性质的关系

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摘要

The main goals of this study are to investigate the potential of absorption coefficient for the prediction of water contents in 'Yuanhuang' pear and analyze the relationship between the shelf-life and bulk optical properties in the range of 900-1050 nm. An automated integrating sphere (AIS) system was used to measure the total reflectance, total transmittance of pear flesh tissues in visible-Near infrared (Vis-NIR) range. These two measurements were used to estimate the absorption coefficient μ_a and reduced scattering coefficient μ'_s of pear samples by using an inverse adding doubling (IAD) light propagation model. The detection accuracy of the AIS system was verified by using both liquid (Intralipid-20% as scatterer) and solid phantom (TiO_2 as scatterer, carbon black as absorber). The relative error of measurement of μ'_s of liquid phantom with four different concentration (0.5%,l%,1.5%,2%) at 632.8 nm, 751 nm, 833 nm are less than 10% except for 2% concentration at 833 nm, and the relative error of measurement μ_a and μ'_s of solid phantom at 525.4 nm, 632.1 nm, 710.3 nm and 780.1 nm are less than 5% except for the μ_a at 525.4 nm. A total of 140 samples were used to conduct the moisture measurement, and drying method was used. Predictive models for moisture content from μ_a data were constructed using partial least squares regression (PLSR). The coefficient of correlation of calibration set (R_c) and validation set (R_p) were 0.50 and 0.45 respectively. The relationship between the shelf-life and optical properties was analyzed by dividing pear samples into three categories according to the actual shelf-life, and calculating classification accuracy by using actual and calculated shelf-life grade.
机译：这项研究的主要目的是研究吸收系数在预测“元皇”梨中水分含量方面的潜力，并分析在900-1050 nm范围内的货架期与整体光学性质之间的关系。使用自动积分球（AIS）系统在可见-近红外（Vis-NIR）范围内测量梨肉组织的总反射率和总透射率。通过使用反向加倍（IAD）光传播模型，这两个测量值被用于估计梨样品的吸收系数μ_a和降低的散射系数μ'_s。使用液体（Intralipid-20％作为散射体）和固体幻影（TiO_2作为散射体，炭黑作为吸收体）验证了AIS系统的检测精度。在632.8 nm，751 nm，833 nm处有四种不同浓度（0.5％，l％，1.5％，2％）的液体体模μ's的测量相对误差小于10％，除了在833％浓度下为2％除了在525.4nm处的μ_a以外，在525.4nm，632.1nm，710.3nm和780.1nm处的实心模型的测量值μ_a和μ′s的相对误差小于5％。总共使用140个样品进行水分测量，并使用干燥方法。使用偏最小二乘回归（PLSR）构建了来自μ_a数据的水分含量预测模型。校准集（R_c）和验证集（R_p）的相关系数分别为0.50和0.45。通过根据实际货架寿命将梨样品分为三类，并通过使用实际和计算的货架寿命等级来计算分类精度，来分析货架寿命与光学性质之间的关系。

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