数字农科院2.0

Multi-indicator adaptive prediction model for mutton based on hyperspectral imaging technology

文献类型: 外文期刊

作者: Chen, Yuzhong;Zheng, Xiaochun;Li, Tengfei;Wang, Weiting;Ma, Yanli;Hu, Peng;Cao, Jianfang;Du, Pengfei;Abd El-Aty, A. M.

作者机构:

关键词: Mutton;Hyperspectral imaging;XGBoost;Freshness;TVB-N;TVC;pH;Meat color;Adaptation

期刊名称: FOOD CONTROL

ISSN: 0956-7135

年卷期: 2025 年 183 卷

页码:

收录情况: SCIE(2025版)

摘要: This study proposes a multi-indicator adaptive synchronous prediction model for mutton that is based on hyperspectral imaging. By integrating spectral features, texture features, wavelet features, and visible light region color features (L*, a*, b* specific), a multidimensional information space is constructed. An adaptive optimization strategy is integrated and adopted, including adaptive feature selection, adaptive model selection, and adaptive model hyperparameter optimization. Among these, the prediction results for pH and TVC were the best, with Rc2 values of 0.953 and 0.973, respectively, and Rp2 values of 0.937 and 0.951, respectively; the Rc2 value for TVB-N was 0.896, and the Rp2 value was 0.856; and the Rc2 values for L*, a*, and b* were 0.872, 0.837, and 0.938, respectively, with Rp2 values of 0.498, 0.771, and 0.888, respectively. This study provides valuable references and technical support for the application of spectral multi-indicator simultaneous prediction, benefiting related research and practical fields.

分类号:

  • 相关文献

[1]猪肉理化指标的近红外光谱无损检测. 刘瑜明,王巧华,陈远哲,刘成康,范维,祝志慧,刘世伟. 2024

[2]基于XGBoost算法的山东烟叶质量预测模型初探. 别瑞,周婷云,周显升,姜滨,周永,邱军,曹建敏. 2022

[3]基于无人机多源遥感数据和机器学习的高通量棉花估产研究. 冯美臣,苏悦,林涛,余汛,宋扬,金秀良. 2025

[4]Mapping, Tissue Distribution and Polymorphism of Porcine Retinol Binding Protein Genes (RBP5 and RBP7)*. Gong, W. H.,Tang, Z. L.,Han, J. L.,Yang, S. L.,Wang, H.,Li, Y.,Li, K..

[5]Quantitative Phosphoproteomic Analysis Among Muscles O.f Different Color Stability U sing Tandem Mass Tag Labeling. Li, Z, Li, M, Li, X, Xin, JZ, Wang, Y, Shen, QWW, Zhang, DQ. 2018

[6]Effects Of Protein Phosphorylation On C.olor Stability Of Ground M eat. Li, M, Li, X, Xin, JZ, Li, Z, Li, GX, Zhang, Y, Du, MT, Shen, QW, Zhang, DQ. 2017

[7]Phosphoproteome profiling reveals the role of mitochondrial proteins phosphorylation in beef color development. Xin Li,Chi Ren,Guangjing Tian,Ying Wang,Huawei Su,Xinglong Zhang,Chengli Hou,Martine Schroyen,Dequan Zhang. 2024

[8]Insight into the meat quality differences of Tibetan sheep from different altitudes based on metabolomics. Ruisi Liu,Jianing Fu,Shaobo Li,Minghui Gu,Liang Li,Le Xu,Jiangying Yu,Dequan Zhang,Li Chen. 2026

[9]The Quantified Analysis of Fresh Mutton Tenderness Using PLS Methods and Fourier Transform Near-Infrared Spectroscopy. Zhang De-quan,Li Chun-hong,Li Yong,Li Shu-rong,Li Qing-peng,Zhou Hong-jie,Chen Xiao-na,Zhang Bo-lin,Sun Su-qin. 2008

[10]Multi-element analysis for determining the geographical origin of mutton from different regions of China. Sun, Shumin,Guo, Boli,Wei, Yimin,Sun, Shumin,Fan, Mingtao.

[11]Phosphorylation inhibits the activity of mu-calpain at different incubation temperatures and Ca2+ concentrations in vitro. Du, Manting,Li, Xin,Li, Zheng,Li, Meng,Gao, Lingling,Zhang, Dequan,Du, Manting.

[12]Phosphorylation Inhibits The Activity Of M.u-Calpain At Different Incubation T emperatures And Ca2+ Concentrations In Vitro. Du, MT, Li, X, Li, Z, Li, M, Gao, LL, Zhang, DQ. 2017

[13]The Effect Of Dehydrogenase Enzyme A.ctivity In Glycolysis On T he Colour Stability Of Mutton During Postmortem Storage. Xin, JZ, Li, Z, Li, X, Li, M, Wang, L, Yang, FM, Zhang, DQ. 2017

[14]Effects Of Phosphorylation On The Activity Of Glycogen Phosphorylase In Mutton During Incubation At 4 Degrees C In Vitro. Bai, YQ, Li, X, Zhang, DQ, Chen, L, Hou, CL, Zheng, XC, Ren, C. 2020

[15]Comparison Of Protein Differences Between H.igh- And Low-Quality Goat A nd Bovine Parts Based On Itraq Technology. Wei, YC, Li, X, Zhang, DQ, Liu, YF. 2019

[16]Machine Learning Models for Inverse Design of the Electrochemical Oxidation Process for Water Purification. Sun, Ye,Zhao, Zhiyuan,Tong, Hailong,Sun, Baiming,Liu, Yanbiao,Ren, Nanqi,You, Shijie. 2023

[17]HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China. Yingqiang Song,Dexi Zhan,Zhenxin He,Wenhui Li,Wenxu Duan,Zhongkang Yang,Miao Lu. 2023

[18]Monitoring Land Use Changes in the Yellow River Delta Using Multi-Temporal Remote Sensing Data and Machine Learning from 2000 to 2020. Yunyang Zhu,Linlin Lu,Zilu Li,Shiqing Wang,Yu Yao,Wenjin Wu,Rajiv Pandey,Aqil Tariq,Ke Luo,Qingting Li. 2024

[19]Tree-Structured Parzan Estimator–Machine Learning–Ordinary Kriging: An Integration Method for Soil Ammonia Spatial Prediction in the Typical Cropland of Chinese Yellow River Delta with Sentinel-2 Remote Sensing Image and Air Quality Data. Yingqiang Song,Mingzhu Ye,Zhao Zheng,Dexi Zhan,Wenxu Duan,Miao Lu,Zhenqi Song,Dengkuo Sun,Kaizhong Yao,Ziqi Ding. 2023

[20]Effects of mutton with different cooking methods on intestinal flora and metabolites in the elderly based on in vitro fermentation. Jianing Fu,Meizhen Xu,Shaobo Li,Li Chen,Dequan Zhang. 2025

作者其他论文 更多>>