Research on Detection Moisture of Intact Meat Based on Discrete LED Wavelengths - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

Research on Detection Moisture of Intact Meat Based on Discrete LED Wavelengths

Abstract

The existing researches focused on using the commercial full wavelength spectrometer to determine the quality parameters of meat by detecting the meat emulsion, which were difficult to achieve online and non-destructive detection of the moisture content of intact meat. Moreover, the accuracy of pieces moisture detection is low, and people did not consider differences in the organizational structure of the pork meat itself. In this paper, we have developed a portable data acquisition system based on discrete wavelengths of spectral, and used it to detect the moisture content of fresh intact pork meat within a certain depth range. Based on the steady-state spatially resolved spectroscopy and considering the muscle fiber structure and direction of intact pork meat, we have designed a device with a symmetrical structure, which has a wavelength of 1300nm, 1450nm, 1550nm and 970nm LED light source for detecting the moisture content of the samples obtained from theLongissimus, within a certain depth range, and verified the stability and linearity of the system. The results show that the coefficient of determination is 0.49, and the detection range is 73.19%~77.654%. This study shows that scattering properties of meat is one of the main factors affecting the stability of detection.
Fichier principal
Vignette du fichier
978-3-319-19620-6_46_Chapter.pdf (474.41 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01420256 , version 1 (20-12-2016)

Licence

Attribution

Identifiers

Cite

Li-Feng Fan, Jian-Xu Wang, Peng-Fei Zhao, Hao Li, Zhong-Yi Wang, et al.. Research on Detection Moisture of Intact Meat Based on Discrete LED Wavelengths. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.411-418, ⟨10.1007/978-3-319-19620-6_46⟩. ⟨hal-01420256⟩
104 View
94 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More