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Main Authors: Peters, Mads Svanborg, Ahlebæk, Mads Juul, Frandsen, Mads Toudal, Jørgensen, Bjarke, Jessen, Christian Hald, Carlsen, Andreas Krogh, Huang, Wei-Chih, Eriksen, René Lynge
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2411.03114
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author Peters, Mads Svanborg
Ahlebæk, Mads Juul
Frandsen, Mads Toudal
Jørgensen, Bjarke
Jessen, Christian Hald
Carlsen, Andreas Krogh
Huang, Wei-Chih
Eriksen, René Lynge
author_facet Peters, Mads Svanborg
Ahlebæk, Mads Juul
Frandsen, Mads Toudal
Jørgensen, Bjarke
Jessen, Christian Hald
Carlsen, Andreas Krogh
Huang, Wei-Chih
Eriksen, René Lynge
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_03114
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes
Peters, Mads Svanborg
Ahlebæk, Mads Juul
Frandsen, Mads Toudal
Jørgensen, Bjarke
Jessen, Christian Hald
Carlsen, Andreas Krogh
Huang, Wei-Chih
Eriksen, René Lynge
Applied Physics
Computer Vision and Pattern Recognition
Optics
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.
title Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes
topic Applied Physics
Computer Vision and Pattern Recognition
Optics
url https://arxiv.org/abs/2411.03114