Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation

doi:10.3390/foods12173145

	Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation
	Li, Tianhao 1,2; Wei, Wensong 3,4; Xing, Shujuan 3,4; Min, Weiqing 1,2; Zhang, Chunjiang 3,4; Jiang, Shuqiang 1,2
	2023-09-01
发表期刊	FOODS
卷号	12 期号:17 页码:15
摘要	The limited nutritional information provided by external food representations has constrained the further development of food nutrition estimation. Near-infrared hyperspectral imaging (NIR-HSI) technology can capture food chemical characteristics directly related to nutrition and is widely used in food science. However, conventional data analysis methods may lack the capability of modeling complex nonlinear relations between spectral information and nutrition content. Therefore, we initiated this study to explore the feasibility of integrating deep learning with NIR-HSI for food nutrition estimation. Inspired by reinforcement learning, we proposed OptmWave, an approach that can perform modeling and wavelength selection simultaneously. It achieved the highest accuracy on our constructed scrambled eggs with tomatoes dataset, with a determination coefficient of 0.9913 and a root mean square error (RMSE) of 0.3548. The interpretability of our selection results was confirmed through spectral analysis, validating the feasibility of deep learning-based NIR-HSI in food nutrition estimation.
关键词	deep learning near-infrared hyperspectral imaging food nutrition estimation wavelength selection
DOI	10.3390/foods12173145
收录类别	SCI
语种	英语
资助项目	We would like to thank Qiang Wang for his support and assistance on the near-infrared spectrometer.
WOS研究方向	Food Science & Technology
WOS类目	Food Science & Technology
WOS记录号	WOS:001060534100001
出版者	MDPI
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21180
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Min, Weiqing; Zhang, Chunjiang
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Agr Sci, Inst Food Sci & Technol, Beijing 100193, Peoples R China 4.Minist Agr & Rural Affairs, Key Lab Agroprod Proc, Beijing 100193, Peoples R China
推荐引用方式 GB/T 7714	Li, Tianhao,Wei, Wensong,Xing, Shujuan,et al. Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation[J]. FOODS,2023,12(17):15.
APA	Li, Tianhao,Wei, Wensong,Xing, Shujuan,Min, Weiqing,Zhang, Chunjiang,&Jiang, Shuqiang.(2023).Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation.FOODS,12(17),15.
MLA	Li, Tianhao,et al."Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation".FOODS 12.17(2023):15.