Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy
Fresh tea leaves continuously lose water after harvesting, and the level of water content directly affects the configuration of tea processing parameters. To address this problem, this study established an online detection system for the water content of fresh tea leaves after harvesting based on ne...
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Makale |
| Dil: | English |
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MDPI AG
2023-01-01
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| Seri Bilgileri: | Sensors |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1424-8220/23/2/666 |
| _version_ | 1827622125254475776 |
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| author | Shishun Wang Zhengmin Wu Chengmao Cao Minhui An Kun Luo Liang Sun Xiaoran Wang |
| author_facet | Shishun Wang Zhengmin Wu Chengmao Cao Minhui An Kun Luo Liang Sun Xiaoran Wang |
| author_sort | Shishun Wang |
| collection | DOAJ |
| description | Fresh tea leaves continuously lose water after harvesting, and the level of water content directly affects the configuration of tea processing parameters. To address this problem, this study established an online detection system for the water content of fresh tea leaves after harvesting based on near-infrared spectroscopy. The online acquisition and analysis system of the temperature and humidity sensor signal data was developed based on LabVIEW and Python software platforms. Near-infrared spectral data, environmental temperature, and humidity were collected from fresh leaves after harvesting. Spectral data were combined with PLS (partial least squares) to develop a prediction model for the water content of fresh tea leaves. Simultaneously, data communication between LabVIEW and PLC was established, laying the foundation for establishing a feedback mechanism to send the prediction results to the main platform of the lower computer. This provides a more objective and accurate basis for the detection of fresh leaves before processing and regulation during processing, thereby effectively promoting the standardisation and intelligent development of tea-processing equipment. |
| first_indexed | 2024-03-09T11:18:06Z |
| format | Article |
| id | doaj.art-524a10a93bfb4e5eaae9aaf901b0cbf0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:18:06Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-524a10a93bfb4e5eaae9aaf901b0cbf02023-12-01T00:25:30ZengMDPI AGSensors1424-82202023-01-0123266610.3390/s23020666Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red SpectroscopyShishun Wang0Zhengmin Wu1Chengmao Cao2Minhui An3Kun Luo4Liang Sun5Xiaoran Wang6School of Engineering, Anhui Agricultural University, Hefei 230036, ChinaSchool of Tea and Food Science, Anhui Agricultural University, Hefei 230036, ChinaSchool of Engineering, Anhui Agricultural University, Hefei 230036, ChinaSchool of Engineering, Anhui Agricultural University, Hefei 230036, ChinaSchool of Engineering, Anhui Agricultural University, Hefei 230036, ChinaSchool of Engineering, Anhui Agricultural University, Hefei 230036, ChinaSchool of Tea and Food Science, Anhui Agricultural University, Hefei 230036, ChinaFresh tea leaves continuously lose water after harvesting, and the level of water content directly affects the configuration of tea processing parameters. To address this problem, this study established an online detection system for the water content of fresh tea leaves after harvesting based on near-infrared spectroscopy. The online acquisition and analysis system of the temperature and humidity sensor signal data was developed based on LabVIEW and Python software platforms. Near-infrared spectral data, environmental temperature, and humidity were collected from fresh leaves after harvesting. Spectral data were combined with PLS (partial least squares) to develop a prediction model for the water content of fresh tea leaves. Simultaneously, data communication between LabVIEW and PLC was established, laying the foundation for establishing a feedback mechanism to send the prediction results to the main platform of the lower computer. This provides a more objective and accurate basis for the detection of fresh leaves before processing and regulation during processing, thereby effectively promoting the standardisation and intelligent development of tea-processing equipment.https://www.mdpi.com/1424-8220/23/2/666near-infrared spectroscopywater contenttea fresh leafonline detection system |
| spellingShingle | Shishun Wang Zhengmin Wu Chengmao Cao Minhui An Kun Luo Liang Sun Xiaoran Wang Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy Sensors near-infrared spectroscopy water content tea fresh leaf online detection system |
| title | Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy |
| title_full | Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy |
| title_fullStr | Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy |
| title_full_unstemmed | Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy |
| title_short | Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy |
| title_sort | design and experiment of online detection system for water content of fresh tea leaves after harvesting based on near infra red spectroscopy |
| topic | near-infrared spectroscopy water content tea fresh leaf online detection system |
| url | https://www.mdpi.com/1424-8220/23/2/666 |
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