Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development
The digitalization of information is crucial for the upgrading of the bayberry digital agriculture industry, while the low-cost information detection sensing equipment for bayberry are a bottleneck for the digital development of the industry. The existing rapid and non-destructive detection devices...
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| Format: | Article |
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MDPI AG
2023-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/24/9822 |
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| author | Jiaoru Wang Weizhi Wu Shoupeng Tian Yadong He Yun Huang Fumin Wang Yao Zhang |
| author_facet | Jiaoru Wang Weizhi Wu Shoupeng Tian Yadong He Yun Huang Fumin Wang Yao Zhang |
| author_sort | Jiaoru Wang |
| collection | DOAJ |
| description | The digitalization of information is crucial for the upgrading of the bayberry digital agriculture industry, while the low-cost information detection sensing equipment for bayberry are a bottleneck for the digital development of the industry. The existing rapid and non-destructive detection devices for fruit acidity and sugar content mainly use near-infrared and mid-infrared spectral characteristic for detection. These devices use expensive InGaAs sensor, which are difficult to promote and apply in the bayberry digital industry. This study is based on the high-spectral range of 454–998 nm in bayberry fruit to study the mechanism of fruit sugar and acidity content detection and to develop a portable bayberry fruit sugar and acidity detection device using Si-sensor in order to achieve low-cost quality parameter detection of bayberry fruit. The research results show that: Based on the hyperspectral of bayberry fruit, the sensitive wavelength for sugar content inversion is 610 nm, and the inversion accuracy (RMSE) is 1.399Brix; the sensitive wavelength for pH inversion is 570 nm, and the inversion accuracy (RMSE) is 0.1329. Based on the above spectroscopic detection mechanism and spectral dimension reduction methods, combined with low-cost Si-sensor (400–1000 nm), a low-cost non-destructive portable bayberry fruit sugar and acidity detection device has been developed, with detection accuracies of 94.74% and 97.14%, respectively. This bayberry fruit sugar and acidity detector provides a low-cost portable non-destructive quality detection instrument of bayberry, which is in line with the industrial group of low consumption in which the bayberry is mainly cultivated on a small scale, accelerating the digitalization process of the bayberry industry. |
| first_indexed | 2024-03-08T20:22:41Z |
| format | Article |
| id | doaj.art-08a7d29af29f4ce0b175a17cd4a579db |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T20:22:41Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-08a7d29af29f4ce0b175a17cd4a579db2023-12-22T14:40:53ZengMDPI AGSensors1424-82202023-12-012324982210.3390/s23249822Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument DevelopmentJiaoru Wang0Weizhi Wu1Shoupeng Tian2Yadong He3Yun Huang4Fumin Wang5Yao Zhang6College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaCollege of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaCollege of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaCollege of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaJinhua Agricultural Science Study Institute, Jinhua 321000, ChinaInstitute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou 310058, ChinaCollege of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaThe digitalization of information is crucial for the upgrading of the bayberry digital agriculture industry, while the low-cost information detection sensing equipment for bayberry are a bottleneck for the digital development of the industry. The existing rapid and non-destructive detection devices for fruit acidity and sugar content mainly use near-infrared and mid-infrared spectral characteristic for detection. These devices use expensive InGaAs sensor, which are difficult to promote and apply in the bayberry digital industry. This study is based on the high-spectral range of 454–998 nm in bayberry fruit to study the mechanism of fruit sugar and acidity content detection and to develop a portable bayberry fruit sugar and acidity detection device using Si-sensor in order to achieve low-cost quality parameter detection of bayberry fruit. The research results show that: Based on the hyperspectral of bayberry fruit, the sensitive wavelength for sugar content inversion is 610 nm, and the inversion accuracy (RMSE) is 1.399Brix; the sensitive wavelength for pH inversion is 570 nm, and the inversion accuracy (RMSE) is 0.1329. Based on the above spectroscopic detection mechanism and spectral dimension reduction methods, combined with low-cost Si-sensor (400–1000 nm), a low-cost non-destructive portable bayberry fruit sugar and acidity detection device has been developed, with detection accuracies of 94.74% and 97.14%, respectively. This bayberry fruit sugar and acidity detector provides a low-cost portable non-destructive quality detection instrument of bayberry, which is in line with the industrial group of low consumption in which the bayberry is mainly cultivated on a small scale, accelerating the digitalization process of the bayberry industry.https://www.mdpi.com/1424-8220/23/24/9822bayberry (<i>Myrica rubra cv. DongKui Orient Pearl</i>)sugar percentage and acidityhyperspectral detectionlow-cost portable instrument |
| spellingShingle | Jiaoru Wang Weizhi Wu Shoupeng Tian Yadong He Yun Huang Fumin Wang Yao Zhang Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development Sensors bayberry (<i>Myrica rubra cv. DongKui Orient Pearl</i>) sugar percentage and acidity hyperspectral detection low-cost portable instrument |
| title | Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development |
| title_full | Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development |
| title_fullStr | Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development |
| title_full_unstemmed | Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development |
| title_short | Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development |
| title_sort | non destructive determination of bayberry sugar and acidity by hyperspectral remote sensing of si sensor and low cost portable instrument development |
| topic | bayberry (<i>Myrica rubra cv. DongKui Orient Pearl</i>) sugar percentage and acidity hyperspectral detection low-cost portable instrument |
| url | https://www.mdpi.com/1424-8220/23/24/9822 |
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