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Near-infrared hyperspectral imaging for beef tenderness prediction and visualization

Grant number: 15/20312-2
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): April 01, 2016
Effective date (End): December 31, 2016
Field of knowledge:Agronomical Sciences - Food Science and Technology
Principal Investigator:Saulo da Luz e Silva
Grantee:Juliana Monteiro Balage
Supervisor abroad: Jose Manuel Amigo Rubio
Home Institution: Faculdade de Zootecnia e Engenharia de Alimentos (FZEA). Universidade de São Paulo (USP). Pirassununga , SP, Brazil
Local de pesquisa : University of Copenhagen, Denmark  
Associated to the scholarship:15/00293-3 - Beef quality evaluation using near infrared hyperspectral imaging, BP.DR

Abstract

This research studies rapid and non-destructive prediction of tenderness in fresh beef steaks using near-infrared hyperspectral imaging. Hyperspectral images of tested steaks with different tenderness levels were acquired and their spectral features were extracted in 1000-2500 nm. Calibration algorithms, such as partial least squares regression (PLSR) and least-square support vector machine (LS-SVM) analysis, will be used to correlate the extracted spectra of beef samples with the reference tenderness values estimated by WBSF method. Optimal wavelength selection will be carried out based on full range spectra with two methods, regression coefficients (RC) from PLSR analysis and successful projections algorithm (SPA). An image processing algorithm will be studied to transfer the best model to each pixel in beef steaks for visualizing their WBSF distribution. (AU)