title: Online monitoring of red meat color using hyperspectral imaging.
abstract: A hyperspectral imaging system in the spectral range of 400-1000 nm was tested to develop an online monitoring system for red meat (beef, lamb, and pork) color in the meat industry. Instead of selecting different sets of important wavelengths for beef, lamb, and pork, a set of feature wavelengths were selected using the successive projection algorithm for red meat colors (L*, a*, b) for convenient industrial application. Only six wavelengths (450, 460, 600, 620, 820, and 980 nm) were further chosen as predictive feature wavelengths for predicting L*, a*, and b* in red meat. Multiple linear regression models were then developed and predicted L*, a*, and b* with coefficients of determination (R(2)p) of 0.97, 0.84, and 0.82, and root mean square error of prediction of 1.72, 1.73, and 1.35, respectively. Finally, distribution maps of meat surface color were generated. The results indicated that hyperspectral imaging has the potential to be used for rapid assessment of meat color.
authors.affiliation: Graduate School of Agricultural & Life Sciences, The University of Tokyo, Japan; Department of Food Technology and Rural Industries, Faculty of Agricultural Engineering & Technology, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh. Electronic address: mohammed.kamruzzaman@bau.edu.bd.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Kamruzzaman
authors.affiliation: Graduate School of Agricultural & Life Sciences, The University of Tokyo, Japan. Electronic address: amakino@mail.ecc.u-tokyo.ac.jp.
authors.forename: Yoshio
authors.initials: Y
authors.lastname: Makino
authors.affiliation: Graduate School of Agricultural & Life Sciences, The University of Tokyo, Japan.
authors.forename: Seiichi
authors.initials: S
authors.lastname: Oshita
mesh_terms: D000818:Animals; D002417:Cattle; D015999:Multivariate Analysis; D000069466:Red Meat / Q000032:analysis*; D015203:Reproducibility of Results; D012756:Sheep; D019265:Spectroscopy, Near-Infrared / Q000379:methods; D013552:Swine
keywords: Beef; Hyperspectral imaging; Image processing; Lamb; Multivariate analysis; Pork; Successive projections algorithm