您好，欢迎访问中国水产科学研究院 机构知识库！
中国水产科学研究院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Rapid and Non-Invasive Assessment of Texture Profile Analysis of Common Carp (Cyprinus carpio L.) Using Hyperspectral Imaging and Machine Learning

文献类型： 外文期刊

作者： Cao, Yi-Ming 1 ; Zhang, Yan 1 ; Yu, Shuang-Ting 1 ; Wang, Kai-Kuo 3 ; Chen, Ying-Jie 3 ; Xu, Zi-Ming 3 ; Ma, Zi-Yao 3 ; Chen, Hong-Lu 1 ; Wang, Qi 1 ; Zhao, Ran 1 ; Sun, Xiao-Qing 1 ; Li, Jiong-Tang 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Beijing Key Lab Fishery Biotechnol, Minist Agr & Rural Affairs, Key Lab Aquat Genom, Beijing 100141, Peoples R China

2.Chinese Acad Agr Sci, Beijing 100181, Peoples R China

3.Shanghai Ocean Univ, Natl Demonstrat Ctr Expt Fisheries Sci Educ, Shanghai 201306, Peoples R China

关键词： common carp; hyperspectral imaging; texture; machine learning; visualization

期刊名称：FOODS （ 影响因子：5.2； 五年影响因子：5.5 ）

ISSN：

年卷期： 2023 年 12 卷 17 期

页码：

收录情况： SCI

摘要： Hyperspectral imaging (HSI) has been applied to assess the texture profile analysis (TPA) of processed meat. However, whether the texture profiles of live fish muscle could be assessed using HSI has not been determined. In this study, we evaluated the texture profile of four muscle regions of live common carp by scanning the corresponding skin regions using HSI. We collected skin hyperspectral information from four regions of 387 scaled and live common carp. Eight texture indicators of the muscle corresponding to each skin region were measured. With the skin HSI of live common carp, six machine learning (ML) models were used to predict the muscle texture indicators. Backpropagation artificial neural network (BP-ANN), partial least-square regression (PLSR), and least-square support vector machine (LS-SVM) were identified as the optimal models for predicting the texture parameters of the dorsal (coefficients of determination for prediction (r(p)) ranged from 0.9191 to 0.9847, and the root-mean-square error for prediction ranged from 0.1070 to 0.3165), pectoral (r(p) ranged from 0.9033 to 0.9574, and RMSEP ranged from 0.2285 to 0.3930), abdominal (r(p) ranged from 0.9070 to 0.9776, and RMSEP ranged from 0.1649 to 0.3601), and gluteal (r(p) ranged from 0.8726 to 0.9768, and RMSEP ranged from 0.1804 to 0.3938) regions. The optimal ML models and skin HSI data were employed to generate visual prediction maps of TPA values in common carp muscles. These results demonstrated that skin HSI and the optimal models can be used to rapidly and accurately determine the texture qualities of different muscle regions in common carp.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国水产科学研究院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台