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Non-Destructive Measurement of Green Bitter Gourd Quality Component Using Near Infrared Spectroscopy (NIRS)

机译:使用近红外光谱(NIRS)无损测量绿色苦瓜质量成分

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The quality component measurement of horticultural products becomes more important to achieve better quality products also to obtain uniform product. Recently, measurement by non-destructive methods turns out to be more needed, because consumers become more selective and demand producers to develop a quick, effective and accurate quality assessment system. Near Infrared Spectroscopy (NIRS) can measure plant contents quickly, relatively economical in a bigger scale, and importantly non-destructive. The measurement of quality components of green bitter gourd, such as firmness, water content, total soluble solid, and color, are important but have not been widely conducted. This research was conducted from June to August 2013 at Post Harvest Laboratory, Faculty of Agriculture, Padjadjaran University, Sumedang, Indonesia with PLS regression modeling method. The results show R-value and standard error of 0.91 and 0.47 for water content, 0.93 and 1.03 for firmness, and 0.95 and 0.49 for a* value of fruit color.
机译:园艺产品的质量成分测量对于获得更优质的产品以及获得统一的产品变得更加重要。近来,由于消费者变得更具选择性并且要求生产者开发快速,有效和准确的质量评估系统,因此越来越需要通过非破坏性方法进行测量。近红外光谱(NIRS)可以快速,大规模地相对经济地测量植物含量,并且重要的是无损测量。绿色苦瓜的品质成分(例如硬度,含水量,总可溶性固形物和颜色)的测量很重要,但尚未广泛进行。这项研究于2013年6月至2013年8月在印度尼西亚Sumedang的Padjadjaran大学农业学院的Post Harvest实验室采用PLS回归建模方法进行。结果表明,R值和水的标准误差为0.91和0.47,硬度的0.93和1.03,水果色的a *值的0.95和0.49。

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