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首页> 外文期刊>Food analytical methods >Application of Visible/Near-Infrared Spectroscopy Combined with Machine Vision Technique to Evaluate the Ripeness of Melons (Cucumis melo L.)
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Application of Visible/Near-Infrared Spectroscopy Combined with Machine Vision Technique to Evaluate the Ripeness of Melons (Cucumis melo L.)

机译：可见/近红外光谱结合机器视觉技术评估甜瓜（Cucumis melo L.）的成熟度

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摘要

Visibleear-infrared (Vis/NIR) spectroscopy was applied to determine the ripeness of melons (Cucumis melo L.). The total soluble solids (TSS) and flesh color distribution around the equator fracture surface was studied, and a high correlation between TSS and flesh color in the outer mesocarp region was observed. A new ripeness index, defined as the edible ratio (ER), was proposed. One hundred and twenty melons with similar sizes were selected as samples and divided into a calibration set and a prediction set. Spectra of melons were acquired separately under transmittance and interactance modes. A machine vision system was established to acquire images of the melon fracture surfaces to further calculate the ER values of the melons. Partial least squares (PLS) calibration models were developed to predict the melon ripeness indices, including TSS, surface color (SC), and ER value. The results were promising for TSS, Hunter a, and ER value. For Hunter b, the results were insufficient. In addition, by comparing the performances of the calibration models developed under different detection modes, it was concluded that the best calibration results for TSS and ER were achieved under the transmittance mode, while for Hunter a, the best result was obtained using interactance spectra.
机译：应用可见/近红外（Vis / NIR）光谱确定甜瓜（Cucumis melo L.）的成熟度。研究了总可溶性固形物（TSS）和赤道断面周围果肉的颜色分布，并观察到中果皮外部区域的TSS与果肉颜色之间的高度相关性。提出了一种新的成熟度指数，定义为可食用率（ER）。选择大小相似的一百二十个甜瓜作为样本，并分为校准集和预测集。在透射和相互作用模式下分别获得瓜的光谱。建立了机器视觉系统以获取瓜果断裂面的图像，以进一步计算瓜果的ER值。开发了偏最小二乘（PLS）校准模型来预测甜瓜成熟度指数，包括TSS，表面颜色（SC）和ER值。结果对于TSS，Hunter a和ER值是有希望的。对于Hunter b，结果不足。此外，通过比较在不同检测模式下开发的校准模型的性能，可以得出结论，在透射模式下，TSS和ER的校准结果最佳，而对于Hunter a，使用相互作用光谱获得了最好的校准结果。

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