Design and experiment of online detection pallets for pomelo fruit based on spectral technique and optical simulation

Authors

SUN Xiaopeng, College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China; Agricultural Products Public Monitoring Center of Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China
XU Sai, Agricultural Products Public Monitoring Center of Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China; Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China
LU Huazhong, College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China

Abstract

Combined with optical simulation analysis of Trace pro software, a delivery tray suitable for online detection of pomelo fruit is designed. Through the method of structure optimization and material replacement, the tray model with high irradiance/illumination value in the simulation results was processed in kind pomelo fruit was placed on a tray, and the diffuse transmission spectra of pomelo fruit were collected and compared on an independent spectral platform. The optimal tray with test results and pomelo fruit were used for spectral collection. After the spectral data pretreatment, the spectral characteristic points were extracted by continuous projection algorithm (SPA), and the prediction model of PLSR was established for the soluble solid content (SSC) of pomelo fruit. The optimal prediction determination coefficient R_pre² was 0.957. The root means square error (RMSEP) was 0.271 °Brix. The results show that the prediction ability and accuracy of the model are better, and the design of the transfer tray is reasonable.

Publication Date

12-28-2019

First Page

56

Last Page

62

DOI

10.13652/j.issn.1003-5788.2019.12.011

Recommended Citation

Xiaopeng, SUN; Sai, XU; and Huazhong, LU (2019) "Design and experiment of online detection pallets for pomelo fruit based on spectral technique and optical simulation," Food and Machinery: Vol. 35: Iss. 12, Article 11.
DOI: 10.13652/j.issn.1003-5788.2019.12.011
Available at: https://www.ifoodmm.cn/journal/vol35/iss12/11

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