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Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food

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Dong An, Liu Zhang, Zhe Liu, Jincun Liu & Yaoguang Wei. (2023) Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality. Critical Reviews in Food Science and Nutrition 63:29, pages 9766-9796.
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Jorgelina Zaldarriaga Heredia, Marcelo Wagner, Florencia Cora Jofré, Marianela Savio, Silvana Mariela Azcarate & José Manuel Camiña. (2023) An overview on multi-elemental profile integrated with chemometrics for food quality assessment: toward new challenges. Critical Reviews in Food Science and Nutrition 63:26, pages 8173-8193.
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Huo Xuesong, Chen Pu, Li Jingyan, Xu Yupeng, Liu Dan & Chu Xiaoli. (2023) Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years. Applied Spectroscopy Reviews 0:0, pages 1-60.
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Peihua Ma, Zhikun Zhang, Xiaoxue Jia, Xiaoke Peng, Zhi Zhang, Kevin Tarwa, Cheng-I Wei, Fuguo Liu & Qin Wang. (2022) Neural network in food analytics. Critical Reviews in Food Science and Nutrition 0:0, pages 1-19.
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Ya-ling An, Wen-long Wei & De-an Guo. (2022) Application of Analytical Technologies in the Discrimination and Authentication of Herbs from Fritillaria: A Review. Critical Reviews in Analytical Chemistry 0:0, pages 1-22.
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Articles from other publishers (14)

Liu Zhang, Yaoguang Wei, Jincun Liu, Jianwei Wu & Dong An. (2024) A hyperspectral band selection method based on sparse band attention network for maize seed variety identification. Expert Systems with Applications 238, pages 122273.
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Liu Zhang, Shubin Zhang, Jincun Liu, Yaoguang Wei, Dong An & Jianwei Wu. (2024) Maize seed variety identification using hyperspectral imaging and self-supervised learning: A two-stage training approach without spectral preprocessing. Expert Systems with Applications 238, pages 122113.
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Fei Cheng, Chunhua Yang, Hongqiu Zhu, Yonggang Li, Lijuan Lan & Kai Wang. (2023) Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss. Analytical Chemistry 95:36, pages 13446-13455.
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Roman-David Kulko, Alexander Pletl, Andreas Hanus & Benedikt Elser. (2023) Detection of Plastic Granules and Their Mixtures. Sensors 23:7, pages 3441.
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Ziang Niu, Huizhen Yang, Lei Zhou, Mohamed Farag Taha, Yong He & Zhengjun Qiu. (2023) Deep learning-based ranging error mitigation method for UWB localization system in greenhouse. Computers and Electronics in Agriculture 205, pages 107573.
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Yufei MaTiantian LiangShunda QiaoXiaonan LiuZiting Lang. (2023) Highly Sensitive and Fast Hydrogen Detection Based on Light-Induced Thermoelastic Spectroscopy. Ultrafast Science 3.
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Nicolas Mialon, Benoit Roig, Eric Capodanno & Axelle Cadiere. (2023) Untargeted metabolomic approaches in food authenticity: A review that showcases biomarkers. Food Chemistry 398, pages 133856.
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Yiming Liu, Jingchao Zhang, Huali Yuan, Minghan Song, Yan Zhu, Weixing Cao, Xiaoping Jiang & Jun Ni. (2022) Non-Destructive Quality-Detection Techniques for Cereal Grains: A Systematic Review. Agronomy 12:12, pages 3187.
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Xiaonan Liu, Shunda Qiao, Guowei Han, Jinxing Liang & Yufei Ma. (2022) Highly sensitive HF detection based on absorption enhanced light-induced thermoelastic spectroscopy with a quartz tuning fork of receive and shallow neural network fitting. Photoacoustics 28, pages 100422.
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Zhilong Kang, Yuchen Zhao, Lei Chen, Yanju Guo, Qingshuang Mu & Shenyi Wang. (2022) Advances in Machine Learning and Hyperspectral Imaging in the Food Supply Chain. Food Engineering Reviews 14:4, pages 596-616.
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Yulin Xu, Weize Yang, Xuewei Wu, Yuanzhong Wang & Jinyu Zhang. (2022) ResNet Model Automatically Extracts and Identifies FT-NIR Features for Geographical Traceability of Polygonatum kingianum. Foods 11:22, pages 3568.
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Zhenjiao Du, Wenfei Tian, Michael Tilley, Donghai Wang, Guorong Zhang & Yonghui Li. (2022) Quantitative assessment of wheat quality using near‐infrared spectroscopy: A comprehensive review. Comprehensive Reviews in Food Science and Food Safety 21:3, pages 2956-3009.
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Nidhi Rajesh Mavani, Jarinah Mohd Ali, Suhaili Othman, M. A. Hussain, Haslaniza Hashim & Norliza Abd Rahman. (2021) Application of Artificial Intelligence in Food Industry—a Guideline. Food Engineering Reviews 14:1, pages 134-175.
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Xinxin Wang, Yamine Bouzembrak, AGJM Oude Lansink & H. J. van der Fels‐Klerx. (2021) Application of machine learning to the monitoring and prediction of food safety: A review. Comprehensive Reviews in Food Science and Food Safety 21:1, pages 416-434.
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