用新型成像光谱仪快速无损测葡萄糖度和酸度
Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes
- 用压缩感知成像光谱技术捕捉葡萄光谱数据
- 预测糖度和酸度的误差分别低于1.2°Bx和0.13pH
- 设备便宜便携，适合田间实时检测
本文利用一种基于压缩感知成像光谱（CTIS）的新型快照式高光谱成像系统，通过偏最小二乘回归（PLSR）模型对100颗谢根20号鲜食葡萄的可溶性固形物（Brix）和pH值进行预测。将CTIS系统与当前最先进的线扫描高光谱成像系统在相同样本上对比测试。参考值通过折光仪和pH计直接测量获得，用于评估鲜食及酿酒葡萄品质。结果表明，尽管CTIS系统光谱范围较窄，其采集的光谱数据仍与参考值高度相关。该系统具备成本低、便携性强、抗运动误差等优势，展现出在葡萄品质现场评估中的应用潜力。
原文摘要 · Abstract (English)
In this paper, a recently developed snapshot hyperspectral imaging (HSI) system based on Computed Tomography Imaging Spectroscopy (CTIS) is utilized to determine Brix and pH values in Sheegene 20 table grapes through Partial Least Squares Regression (PLSR) modeling. The performance of the CTIS system is compared with that of a state-of-the-art line scan HSI system by imaging 100 grapes across both platforms. Reference measurements of Brix and pH values are obtained directly using a refractometer and a pH meter, as these parameters are essential for assessing the quality of table and wine grapes. The findings indicate that the spectra captured by the CTIS camera correlate well with the reference measurements, despite the system's narrower spectral range. The CTIS camera's advantages, including its lower cost, portability, and reduced susceptibility to motion errors, highlight its potential for promising in-field applications in grape quality assessment.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。