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Examination of non-destructive measurements of red wine grapes using visible/NIR spectroscopy.

机译:使用可见/近红外光谱检查红酒葡萄的非破坏性测量。

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摘要

Precision viticulture demands that grape growers are able to quickly determine quality parameters such as brix, titratable acidity, pH, phenolics and anthocyanins for their crop. With this goal in mind researches turned to near-infrared spectroscopy and multivariate statistical modelling as a means of non-destructive grape testing. More recently, in an attempt to reduce the cost of equipment, visible spectroscopic implementations are being pursued. To this end, the ability of a generic visible spectrometer was compared to the only commercially available near-infrared implementation.;Data was collected for three red wine grape species, from four separate blocks, over a period of ten weeks from veraison to harvest. Each of the 200 berry samples collected was scanned using both measurement systems and analyzed chemically to determine their quality parameters. Partial least square models, for each system, were constructed. A comparison of these PLS models was based on the amount of variance that each model was capable of explaining.;The experimental platform demonstrated potential to perform non-destructive grape quality measurements in a fraction of the time required by the commercial implementation. While the limited dataset collected made it impossible to determine the full capabilities of the experimental platform, several recommendations were suggested to guide future research.;A simple sampling platform was designed to utilize a generic spectrometer, The design was meant to be simple to implement and to be cost effective while attempting to make improvements over the current system. The designed platform collected spectral data, 350 to 850 nm at 1 nm increments, for multiple grapes simultaneously. This was in contrast to the current implementation that samples a single grape at a time for wavelengths from 1100 to 2300 nm at 2 nm increments.
机译:精确的葡萄栽培要求葡萄种植者能够快速确定其作物的糖度,可滴定的酸度,pH,酚类和花色苷等质量参数。考虑到这一目标,研究转向近红外光谱和多元统计建模,作为无损葡萄检测的一种手段。最近,为了降低设备成本,正在寻求可见的光谱实现。为此,将通用可见光谱仪的功能与唯一的市售近红外实现方案进行了比较。在从验证到收获的十个星期内,从四个单独的区域收集了三种红酒葡萄品种的数据。使用两个测量系统对收集的200个浆果样品中的每个样品进行扫描,并进行化学分析以确定其质量参数。为每个系统构建了偏最小二乘模型。这些PLS模型的比较基于每个模型能够解释的方差量。实验平台证明了潜在的潜力,可以在商业实施所需时间的一小部分时间内执行无损葡萄质量测量。虽然收集的数据集有限,无法确定实验平台的全部功能,但提出了一些建议以指导未来的研究。;设计了一个简单的采样平台来利用通用光谱仪,该设计易于实现,并且试图在当前系统上进行改进时具有成本效益。设计的平台可以同时收集多个葡萄的光谱数据,以1 nm为增量在350至850 nm之间采集光谱。这与当前的实现方式形成鲜明对比,当前的实现方式是一次采样一个葡萄,以1100至2300 nm的波长以2 nm的增量进行采样。

著录项

  • 作者

    Milton, Wade Joseph.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Agriculture Food Science and Technology.;Engineering Agricultural.
  • 学位 M.A.Sc.
  • 年度 2009
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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