Non-invasive measurement of shear force in chicken meat using near infrared spectroscopy supported by neural network analysis.

• Main Authors: Abdul Rahim, Herlina, Zulkifli, Syahidah Nurani, Ghazali, Rashidah, Abd. Rahim, Intan Maisarah
• Format: Article
• Language: English
• Published: Malaysian Society for Computed Tomography & Imaging Technology (MyCT) 2022
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104263/1/RashidahGhazaliHerlinaAbdulRahimSyahidahNuraniZulkifli2022_NonInvasiveMeasurementofShearForce.pdf; http://eprints.utm.my/104263/; https://tssa.my/index.php/jtssa/article/view/202/90

The aim of the present work was to evaluate the ability of a portable near-infrared (NIR) spectroscopy integrated with machine learning methods to predict the shear force in chicken meat. Considering the benefits of dimension reduction from Principal Component Regression (PCR) and the ability to han...