Optical Properties of Multilayered Tissues of Different Varieties of Apples and Inspection Models of Internal Quality

45 Pages Posted: 3 Mar 2025

See all articles by Xuan Chen

Xuan Chen

Jiangsu University

Chanjun Sun

Jiangsu University

Usman Majeed

Jiangsu University

Chen Wang

Jiangsu University

Shuiquan Jiang

Jiangsu Kaiyi Intellingent Technology

Xiaobo Zou

Jiangsu University

Zhiming Guo

Jiangsu University

Abstract

Apples being multilayered fruits possess optical properties which respond to spectroscopy-based quality inspection models. The variation in optical properties of apple tissues is crucial for efficient spectroscopic detection. Absorption coefficients (µa) and the reduced scattering coefficients (µ's) of three apple varieties had wavelength range from 475 nm to 1600 nm using a double integrating sphere technique. The quantitative prediction models for soluble solid content (SSC), firmness index (FI), and pH for synergistic Interval (SI), competitive adaptive reweighted sampling (CARS), and genetic algorithm (GA) with partial least square (PLS) was accurate. Interestingly, CARS-PLS model using µa provided the best quantitative predictions for SSC (Rp = 0.9833, RMSEP = 0.2630) and pH (Rp = 0.8429, RMSEP = 0.1229). Additionally, the GA-PLS model based on µ's yield accurate prediction for FI (Rp = 0.9372, RMSEP = 0.1478). On the other hand, differences in apple peel color were also observed among the varieties. The qualitative discrimination model random forest (RF) and backpropagation (BP) for apple varieties color detection achieved highest accuracy (100%). These findings confirmed the feasibility of combining optical properties with color detection to identify apple variety.

Keywords: Optical properties, Double integrating sphere technique, Quality, Machine Learning, Apple

Suggested Citation

Chen, Xuan and Sun, Chanjun and Majeed, Usman and Wang, Chen and Jiang, Shuiquan and Zou, Xiaobo and Guo, Zhiming, Optical Properties of Multilayered Tissues of Different Varieties of Apples and Inspection Models of Internal Quality. Available at SSRN: https://ssrn.com/abstract=5163577 or http://dx.doi.org/10.2139/ssrn.5163577

Xuan Chen

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Chanjun Sun

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Usman Majeed

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Chen Wang

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Shuiquan Jiang

Jiangsu Kaiyi Intellingent Technology ( email )

China

Xiaobo Zou

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Zhiming Guo (Contact Author)

Jiangsu University ( email )

Xuefu Rd. 301
Xhenjiang, 212013
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
13
Abstract Views
88
PlumX Metrics