Samadi, Indra Wahyudi, Sitti Wajizah, Zulfahrizal, Agus Arip Munawar
This study elucidates the application of near-infrared spectroscopy (NIRS) and multivariate analysis for the rapid, non-destructive determination of animal feed nutritive parameters, specifically pH, NH3, and volatile fatty acid (VFA) values. NIRS spectra within the 1000-2500 nm range, coupled with reference methods, were employed for parameter determination. To enhance prediction accuracy, spectral pre-processing was undertaken using multiplicative scatter correction (MSC), Savitzky-Golay (SG) smoothing, and first-derivative methods. Simultaneous determination of nutritive parameters was achieved through the establishment of prediction models employing three multivariate analyses: principal component regression (PCR), partial least squares regression (PLSR), and support vector machine regression (SVMR). The results indicated superior pH (r=0.993) and NH3 (r=0.987) predictions using SVMR, while PLSR yielded the lowest root mean square error (RMSE) for VFA (r=0.998). These findings suggest that with appropriate spectral corrections and regression methodologies, NIRS can be effectively utilized for the rapid, simultaneous determination of animal feed nutritive parameters. © 2023 WITPress. All rights reserved.
Department of Animal Husbandry, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia; Department of Agricultural Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia; Agricultural Mechanization Research Centre, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
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