Click on “Download PDF” for the PDF version or on the title for the HTML version.


If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Prediction of Soluble Solids for Complete Orange Based on Visible/Near Infrared Transmission Spectroscopy

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2017 ASABE Annual International Meeting  1700603.(doi:10.13031/aim.201700603)
Authors:   Fan Wang, Yongyu Li, Fang Tian, Xiaochun Zheng, Xiaoqian Fang, Xiaopu Bu
Keywords:   Nondestructive, orange, visible and near-infrared spectroscopy, soluble solids content, transmission spectrum

Abstract. Visible / near infrared spectroscopy detection device was built to detect the soluble solids content (SSC) in orange non-destructively and fast. We use transmission spectroscopy as a means of detection to get the inside information of the whole sample while reducing the impact of pericarp on the test results. After pre-processing the transmission spectra, the quantitative validation models of 98 samples were established by using the competitive adaptive reweighted sampling (CARS) to select the characteristic variables. The results show that the accuracy and stability of the model are improved obviously after the extraction of the characteristic wavelength. The correlation coefficient of the soluble solids validation model of orange is 0.9628 .While the root mean square error is 0.4538. The quantitative validation model established by the transmission spectrum can reflect the composition of the sample and complete the non-destructive validation of the soluble solids of orange.

(Download PDF)    (Export to EndNotes)

 

Authors, please use the Guide for Authors when creating your articles.

Public Access Information
 Public Access = Public Access (PA)
 Public Access Limited Time = PA Limited Time
 Open Access = Open Access
 Contact Us For Purchase = Contact Us For Purchase