Full text available in english in Adobe Acrobat format:https://www.food.actapol.net/volume25/issue1/2_1_2026.pdf
original articleIssue 25 (1) 2026 pp. 19-28
Wei Jiang1, Yao Liu2, Shaogeng Zeng1, Zhongyan Liu1, Jinfang Liu1, Shuwen Wang2
1School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang, China
2School of Electronic and Electrical Engineering, Lingnan Normal University, Zhanjiang, China
2School of Electronic and Electrical Engineering, Lingnan Normal University, Zhanjiang, China
Identification of Thawed Fish Meat Based on Near-Infrared Spectroscopy Combined with DAG-LSTMSVM Model
Abstract
Background. Rapid and accurate identification of frozen-thawed fish remains a challenge in food quality assessment. This study proposes a qualitative detection model based on near-infrared spectroscopy combined with a Directed Acyclic Graph Least Squares Twin Mahalanobis Distance-based Support Vector Machine (DAG-LSTMSVM). The model is designed to effectively classify fish meat subjected to different thawing methods.
Material and methods. A near-infrared reflectance spectroscopy system was employed to collect spectral data from fresh fish meat, ultrasonic-thawed fish meat, and microwave-thawed fish meat across the wavelength range of 950–1700 nm. Various pre-processing methods were applied to the spectral data to evaluate their influence on model performance.
Results. The DAG-LSTMSVM model combined with Savitzky-Golay (SG) smoothing pre-processing achieved a detection accuracy of 97.8%, outperforming conventional support vector machine models. Notably, this high accuracy was maintained even when the sample size was substantially reduced, indicating strong robustness.
Conclusion. The integration of near-infrared spectroscopy with the DAG-LSTMSVM model provides a rapid and reliable
Keywords: near-infrared spectroscopy; freeze-thaw; twin support vector machine; fish; non-destructive testing
Full text available in english in Adobe Acrobat format:https://www.food.actapol.net/volume25/issue1/2_1_2026.pdf
https://doi.org/10.17306/J.AFS.001443
For citation:
| MLA | Jiang, Wei, et al. "Identification of Thawed Fish Meat Based on Near-Infrared Spectroscopy Combined with DAG-LSTMSVM Model." Acta Sci.Pol. Technol. Aliment. 25.1 (2026): 19-28. https://doi.org/10.17306/J.AFS.001443 |
| APA | Jiang W., Liu Y., Zeng S., Liu Z., Liu J., Wang S. (2026). Identification of Thawed Fish Meat Based on Near-Infrared Spectroscopy Combined with DAG-LSTMSVM Model. Acta Sci.Pol. Technol. Aliment. 25 (1), 19-28 https://doi.org/10.17306/J.AFS.001443 |
| ISO 690 | JIANG, Wei, et al. Identification of Thawed Fish Meat Based on Near-Infrared Spectroscopy Combined with DAG-LSTMSVM Model. Acta Sci.Pol. Technol. Aliment., 2026, 25.1: 19-28. https://doi.org/10.17306/J.AFS.001443 |