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首页> 外文期刊>Journal of food engineering >Non-destructive Technologies For Fruit And Vegetable Size Determination - A Review
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Non-destructive Technologies For Fruit And Vegetable Size Determination - A Review

机译：果蔬尺寸无损检测技术的综述

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摘要

Here, we review different methods for non-destructive horticultural produce size determination, focusing on electronic technologies capable of measuring fruit volume. The usefulness of produce size estimation is justified and a comprehensive classification system of the existing electronic techniques to determine dimensional size is proposed. The different systems identified are compared in terms of their versatility, precision and throughput. There is general agreement in considering that online measurement of axes, perimeter and projected area has now been achieved. Nevertheless, rapid and accurate volume determination of irregular-shaped produce, as needed for density sorting, has only become available in the past few years. An important application of density measurement is soluble solids content (SSC) sorting. If the range of SSC in the batch is narrow and a large number of classes are desired, accurate volume determination becomes important. A good alternative for fruit three-dimensional surface reconstruction, from which volume and surface area can be computed, is the combination of height profiles from a range sensor with a two-dimensional object image boundary from a solid-state camera (brightness image) or from the range sensor itself (intensity image). However, one of the most promising technologies in this field is 3-D multispectral scanning, which combines multispectral data with 3-D surface reconstruction.
机译：在这里，我们将重点介绍能够测量水果体积的电子技术，探讨用于确定非破坏性园艺产品尺寸的不同方法。证明了产品尺寸估计的有用性，并提出了一种用于确定尺寸的现有电子技术的综合分类系统。比较所识别的不同系统的多功能性，精度和吞吐量。人们普遍认为现在已经实现了轴，周长和投影面积的在线测量。然而，根据密度分选的需要，快速，准确地确定不规则形状产品的体积仅在过去几年中可用。密度测量的重要应用是可溶性固形物含量（SSC）分选。如果批次中SSC的范围狭窄并且需要大量类别，则准确的体积确定就变得很重要。可以从中计算体积和表面积的水果三维表面重建的一个很好的选择是将距离传感器的高度轮廓与固态照相机的二维物体图像边界（亮度图像）相结合，或者距离传感器本身（强度图像）。但是，该领域最有前途的技术之一是3-D多光谱扫描，它将多光谱数据与3-D表面重建相结合。

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