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ELECTRONIC NOSE AND VIS-SPECTRA DATA FUSION FOR THE PREDICTION OF FRUITS CHARACTERISTICS

机译:电子鼻子和可见光谱数据融合以预测水果特性

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Ripeness and fruit quality are considered as the relevant parameters to evaluate the value of fruits. Ripeness is defined by measurable physiological changes into the fruit metabolism. At contrary, fruit quality is a more global fruit parameter that can not easily be predicted by a certain number of fruit characteristics. In recent years, non-destructive methods to analyse fruit parameters have been subject of extensive researches. The most evident achieved result is that none of the proposed approaches seems to provide all the necessary information to characterise fruits. Therefore, sensor fusion is suggested to be a promising tool to take into account different measurement principles improving the information and, as a consequence, the prediction of ripeness and quality of marketable products. In this paper, an experiment on peaches aimed at fusing together the information acquired by an aroma sensor (electronic nose) and a visible light spectrometer is described. The methodology here proposed showed positive results and provided the evidence that when different sensor information are fused together a general improvement of the knowledge about the samples is obtained.
机译:成熟度和水果品质被视为评估水果价值的相关参数。成熟度是通过水果代谢中可测量的生理变化来定义的。相反,水果质量是一个更全局的水果参数,无法通过一定数量的水果特征轻松预测。近年来,无损分析水果参数的方法已成为广泛研究的主题。最明显的结果是,所提出的方法似乎都没有提供表征水果的所有必要信息。因此,建议将传感器融合作为一种有前途的工具,以考虑到不同的测量原理,这些信息可以改善信息,因此可以预测可销售产品的成熟度和质量。在本文中,描述了一种针对桃子的实验,旨在将香气传感器(电子鼻)和可见光光谱仪获得的信息融合在一起。此处提出的方法显示出积极的结果,并提供了证据,表明当将不同的传感器信息融合在一起时,将获得有关样品知识的总体提高。

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