Estimation of grape Isabel's quality in pre-harvest based on spectral signature

M. A. Lima, Antônio Odair Santos
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Abstract

Near Infrared Spectroscopy is a valid non-destructive technique to quantify / estimate grape quality parameters. The objective of this study was to evaluate the logistics of using a motorized vehicle and a portable infrared spectrophotometer (NIR) to quantify the field phenolic compounds (anthocyanin, polyphenols and tannins) of the Isabel grape by spectral data. The spectra were taken in the field in a portable NIR (Brimrose Corp, MD, USA), attached to a Notebook and positioned in a Gator (John Deere) motor vehicle, which has a suitable dimension (1.52 m) to lines without damaging the plants. The phenolic compounds were estimated using calibration models previously determined. Seventy clusters of grape were evaluated in the 2017 and 2018 harvests, after pigmentation of the bark. It was observed that the models tested to quantify the phenolic compounds had an excellent predictive capacity, presenting low standard deviation. The instrumentation and software used were well integrated, making it possible to quickly visualize the variability of quality indicators in the field before harvest.
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基于光谱特征的伊莎贝尔葡萄采前品质评价
近红外光谱技术是一种有效的无损检测葡萄品质参数的方法。本研究的目的是评估使用机动车辆和便携式红外分光光度计(NIR)通过光谱数据定量田间酚类化合物(花青素,多酚和单宁)的物流。光谱是在现场用便携式近红外光谱仪(Brimrose Corp, MD, USA)拍摄的,该光谱仪连接到笔记本电脑上,并放置在Gator (John Deere)机动车辆中,该车辆具有合适的尺寸(1.52 m),可以在不损坏植物的情况下进行检测。使用先前确定的校准模型估计酚类化合物。在树皮着色后,在2017年和2018年的收获中对70个葡萄集群进行了评估。结果表明,所建立的模型具有较好的预测能力和较低的标准偏差。所使用的仪器和软件集成得很好,可以在收获前快速可视化田间质量指标的变化。
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