Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review
Significant research has been carried out on the applications of imaging and spectroscopy technologies for a variety of foods and agricultural products, and the technical fundamentals and their feasibilities have also been widely demonstrated in the past decade. Imaging technologies, including compu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/15/7/1507 |
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| author | Shujun Zhi Ting An Han Zhang Yuhao Bai Baohua Zhang Guangzhao Tian |
| author_facet | Shujun Zhi Ting An Han Zhang Yuhao Bai Baohua Zhang Guangzhao Tian |
| author_sort | Shujun Zhi |
| collection | DOAJ |
| description | Significant research has been carried out on the applications of imaging and spectroscopy technologies for a variety of foods and agricultural products, and the technical fundamentals and their feasibilities have also been widely demonstrated in the past decade. Imaging technologies, including computer vision, Raman, X-ray, magnetic resonance (MR), fluorescence imaging, spectroscopy technology, as well as spectral imaging technologies, including hyperspectral or multi-spectral imaging, have found their applications in non-destructive tea quality assessment. Tea quality can be assessed by considering their external qualities (color, texture, shape, and defect), internal qualities (contents of polyphenols, amino acids, caffeine, theaflavin, etc.), and safety. In recent years, numerous studies have been published to advance non-destructive methods for assessing tea quality using imaging and spectroscopy technologies. This review aims to give a thorough overview of imaging and spectroscopy technologies, data processing and analyzing methods, as well as their applications in tea quality non-destructive assessment. The challenges and directions of tea quality inspection by using imaging and spectroscopy technologies for future research and development will also be reported and formulated in this review. |
| format | Article |
| id | doaj-art-13b4fdaadbd34fecaaea03d25ef41a24 |
| institution | DOAJ |
| issn | 2073-4395 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj-art-13b4fdaadbd34fecaaea03d25ef41a242025-08-20T03:13:42ZengMDPI AGAgronomy2073-43952025-06-01157150710.3390/agronomy15071507Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A ReviewShujun Zhi0Ting An1Han Zhang2Yuhao Bai3Baohua Zhang4Guangzhao Tian5College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaTea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaSchool of Computer Science, Nanjing University, Nanjing 210031, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaSignificant research has been carried out on the applications of imaging and spectroscopy technologies for a variety of foods and agricultural products, and the technical fundamentals and their feasibilities have also been widely demonstrated in the past decade. Imaging technologies, including computer vision, Raman, X-ray, magnetic resonance (MR), fluorescence imaging, spectroscopy technology, as well as spectral imaging technologies, including hyperspectral or multi-spectral imaging, have found their applications in non-destructive tea quality assessment. Tea quality can be assessed by considering their external qualities (color, texture, shape, and defect), internal qualities (contents of polyphenols, amino acids, caffeine, theaflavin, etc.), and safety. In recent years, numerous studies have been published to advance non-destructive methods for assessing tea quality using imaging and spectroscopy technologies. This review aims to give a thorough overview of imaging and spectroscopy technologies, data processing and analyzing methods, as well as their applications in tea quality non-destructive assessment. The challenges and directions of tea quality inspection by using imaging and spectroscopy technologies for future research and development will also be reported and formulated in this review.https://www.mdpi.com/2073-4395/15/7/1507imagingspectroscopy technologiestea quality assessmentcomputer vision |
| spellingShingle | Shujun Zhi Ting An Han Zhang Yuhao Bai Baohua Zhang Guangzhao Tian Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review Agronomy imaging spectroscopy technologies tea quality assessment computer vision |
| title | Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review |
| title_full | Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review |
| title_fullStr | Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review |
| title_full_unstemmed | Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review |
| title_short | Recent Advances and Applications of Imaging and Spectroscopy Technologies for Tea Quality Assessment: A Review |
| title_sort | recent advances and applications of imaging and spectroscopy technologies for tea quality assessment a review |
| topic | imaging spectroscopy technologies tea quality assessment computer vision |
| url | https://www.mdpi.com/2073-4395/15/7/1507 |
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