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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...

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Autores principales: Wang, Shishun, Wu, Zhengmin, Cao, Chengmao, An, Minhui, Luo, Kun, Sun, Liang, Wang, Xiaoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866446/
https://www.ncbi.nlm.nih.gov/pubmed/36679459
http://dx.doi.org/10.3390/s23020666
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author Wang, Shishun
Wu, Zhengmin
Cao, Chengmao
An, Minhui
Luo, Kun
Sun, Liang
Wang, Xiaoran
author_facet Wang, Shishun
Wu, Zhengmin
Cao, Chengmao
An, Minhui
Luo, Kun
Sun, Liang
Wang, Xiaoran
author_sort Wang, Shishun
collection PubMed
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.
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spelling pubmed-98664462023-01-22 Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy Wang, Shishun Wu, Zhengmin Cao, Chengmao An, Minhui Luo, Kun Sun, Liang Wang, Xiaoran Sensors (Basel) Article 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. MDPI 2023-01-06 /pmc/articles/PMC9866446/ /pubmed/36679459 http://dx.doi.org/10.3390/s23020666 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shishun
Wu, Zhengmin
Cao, Chengmao
An, Minhui
Luo, Kun
Sun, Liang
Wang, Xiaoran
Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866446/
https://www.ncbi.nlm.nih.gov/pubmed/36679459
http://dx.doi.org/10.3390/s23020666
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