Abstract
［Objective ］ To realize non -destructive,accurate,and rapid detection of egg quality.［Methods ］ On the basis of hyperspectral detection technology,a rapid egg quality detection method combining the bottle sea squirt group algorithm and XGBoost algorithm has been proposed.Optimizing multiple hyperparameters of the XGBoost model through the Tartary Sea Salp Swarm Algorithm to improve the predictive performance of the XGBoost model.The quality of hyperspectral images was detected by inputting optimized XGBoost models after data preprocessing and feature wavelength selection.The performance of the proposed non -destructive testing method was verified through experiments.［Results］ The experimental method could achieve rapid non -destructive testing of egg quality,with high recognition accuracy and efficiency,a coefficient of determination of 0.942,and an average detection time was 0.032 seconds.［Conclusion ］ The combination of hyperspectral detection technology and experimental methods can achieve rapid,accurate,and non -destructive testing of egg quality.
Publication Date
2-18-2025
First Page
99
Last Page
104
DOI
10.13652/j.spjx.1003.5788.2024.60073
Recommended Citation
Linyi, WANG; Qianying, ZOU; and Qiang, SUN
(2025)
"A rapid detection method for egg quality using CARS and SSA-XGBoost improved by combining hyperspectral analysis,"
Food and Machinery: Vol. 40:
Iss.
8, Article 14.
DOI: 10.13652/j.spjx.1003.5788.2024.60073
Available at:
https://www.ifoodmm.cn/journal/vol40/iss8/14
References
[1] 杨红欣,唐兴萍,杨正明,等.多光谱技术在食品无损检测中的应用进展 [J].食品工业科技,2024,45(8):350-357.YANG H X,TANG X P,YANG Z M,et al.The application progress of multispectral technology in non -destructive testing of food [J].Food Industry Technology,2024,45(8):350-357.
[2] 王明,于金莹,胡雁翔,等.无损检测技术在鸡蛋品质检测中的应用研究进展 [J].食品科技,2021,46(4):268-172.WANG M,YU J Y,HU Y X,et al.Research progress on the application of non -destructive testing technology in egg quality testing [J].Food Technology,2021,46(4):268-172.
[3] 殷坤,刘金明,张东杰,等.基于近红外光谱的大米蛋白质含量快速检测 [J].食品与机械,2021,37(5):82-88,175.YIN K,LIN J M,ZHANG D J,et al.Rapid detection of rice protein content based on near -infrared spectroscopy [J].Food & Machinery,2021,37(5):82-88,175.
[4] 王朝辉,赵层,赵倩,等.基于高光谱成像的大米中蛋白质含量的可视化研究 [J].食品研究与开发,2020,41(6):124-129.WANG C H,ZHAO C,ZHAO Q,et al.Visualization of protein content in rice based on hyperspectral imaging [J].Food Research and Development,2020,41(6):124-129.
[5] 黄蕾,韦紫玉.基于近红外光谱分析技术的大米水分含量快速检测研究 [J].农产品加工,2022 (13):70-73.HUANG L,WEI Z Y.Research on rapid detection of rice moisture content based on near -infrared spectroscopy analysis technology [J].Agricultural Product Processing,2022 (13):70-73.
[6] 赵楠,刘强,魏康丽,等.基于近红外高光谱成像技术的鸡蛋污染过程中菌落总数可视化研究 [J].南京农业大学学报,2019,42(3):543-550.ZHAO N,LIU Q,WEI K L,et al.Visualization of total bacterial count in egg contamination process based on near -infrared hyperspectral imaging technology [J].Journal of Nanjing Agricultural University,2019,42(3):543-550.
[7] 张琛,栾东磊,赵英才,等.基于高光谱成像技术快速检测鸡蛋中二十二碳六烯酸与虾青素含量 [J].食品安全质量检测学报,2020,21(11):8 010-8 020.ZHANG C,LUAN D L,ZHAO Y C,et al.Rapid detection of docosahexaenoic acid and astaxanthin content in eggs based on hyperspectral imaging technology [J].Journal of Food Safety and Quality,2020,21(11):8 010-8 020.
[8] 段宇飞,王巧华.基于特征选择与特征提取融合的鸡蛋新鲜度 光 谱 快 速 检 测 模 型 优 化 [J].食 品 科 学,2020,41(12):273-278.DUAN Y F,WANG Q H.Optimization of a fast detection model for egg freshness spectral detection based on the fusion of feature selection and feature extraction [J].Food Science,2020,41(12):273-278.
[9] 谭航彬,姜丽,金尚忠,等.基于拉曼光谱的鸡蛋新鲜度检测及分类方法 [J].中国计量大学学报,2022,33(2):181-188,203.TAN H B,JIANG L,JIN S Z,et al.A method for detecting and classifying the freshness of eggs based on Raman spectroscopy[J].Journal of China University of Metrology,2022,33(2):181-188,203.
[10] 尚静,孟庆龙,黄人帅,等.光纤光谱技术对猕猴桃品质及成熟度的无损检测 [J].光学精密工程,2021,29(5):1 190-1 198.SHANG J,MENG Q L,HUANG R S,et al.Non destructive testing of kiwifruit quality and maturity using fiber optic spectroscopy technology [J].Optical Precision Engineering,2021,29(5):1 190-1 198.
[11] 姜凤利,杨磊,田有文,等.基于高光谱成像的软枣猕猴桃SSC检测研究 [J].沈阳农业大学学报,2023,54(3):318-326.JIANG F L,YANG L,TIAN Y W,et al.Research on SSC detection of soft jujube kiwifruit based on hyperspectral imaging [J].Journal of Shenyang Agricultural University,2023,54(3):318-326.
[12] 林家豪,张元泽,梁千月,等.基于视触觉与深度学习的猕猴桃 无 损 硬 度 检 测 方 法 [J].农 业 机 械 学 报,2023,54(10):390-398.LIN J H,ZHANG Y Z,LIANG Q Y,et al.A non-destructive hardness testing method for kiwifruit based on visual touch and deep learning [J].Journal of Agricultural Machinery,2023,54(10):390-398.
[13] 姚坤杉,孙俊,陈晨,等.基于高光谱技术的三七不同部位粉末的无损鉴别 [J].光谱学与光谱分析,2023,43(7):2 027-2 031.YAO K S,SUN J,CHEN C,et al.Non destructive identification of powders from different parts of Panax notoginseng based on hyperspectral technology [J].Spectroscopy and Spectral Analysis,2023,43(7):2 027- 2 031.
[14] 马冬菁,刘怡菲,王宇,等.丹东地区 4种软枣猕猴桃果实中多糖特性研究 [J].辽宁林业科技,2020 (1):11-13,45.MA D J,LIU Y F,WANG Y,et al.A study on the polysaccharide characteristics of four kinds of soft date kiwifruit fruits in Dandong region [J].Liaoning Forestry Technology,2020 (1):11-13,45.
[15] 孙兴盛,顾思彤,蒋海峰,等.软枣猕猴桃后熟过程中生理及品质变化规律 [J].包装工程,2021,42(5):45-54.SUN X S,GU S T,JIANG H F,et al.Physiological and quality changes during the ripening process of kiwifruit with soft dates[J].Packaging Engineering,2021,42(5):45-54.
[16] 王立扬,张瑜,沈群,等.基于改进型 LeNet-5的苹果自动分级方法 [J].中国农机化学报,2020,41(7):105-110.WANG L Y,ZHANG Y,SHEN Q,et al.Automatic apple classification method based on improvedlenet -5[J].Chinese Journal of Agricultural Mechanochemistry,2020,41(7):105-110.
[19] 杨志锐,郑宏,郭中原,等.基于网中网卷积神经网络的红枣缺陷检测 [J].食品与机械,2020,36(2):140-145,181.YANG Z R,ZHENG H,GUO Z Y,et al.Defect detection of jujube based on convolutional neural network of net in net [J].Food & Machinery,2020,36(2):140-145,181.
[20] 付丹丹,王巧华,高升,等.不同品种鸡蛋贮期 S-卵白蛋白含量分析及其可见 /近红外光谱无损检测 模型研究 [J].分析化学,2020,48(2):289-296.FU D D,WANG Q H,GAO S,et al.Analysis of S -protein content in different types of eggs during storage and study of visible/near -infrared spectroscopy non -destructive detection models [J].Analytical Chemistry,2020,48(2):289-296.
