NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat

NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat

This study investigated the utilization of near-infrared spectroscopy (NIRS) and machine learning methodologies to differentiate cooked broiler and duck meat. Nearinfrared spectral data were acquired using a portable spectrometer (700–1100 nm) from 40 samples (20 broilers and 20 duck breasts). The d...

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Bibliographic Details
Main Authors: Kamrunnahar Khan Bristy, Dip Ghosh, Md. Abul Hashem
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Applied Food Research
Subjects:
Nir spectroscopy
Machine learning algorithms
Principal component analysis;Hyperparameter Optimization
Ensemble Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2772502225002926
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