Watermelon sugar content detection based on the external characteristics and sub-band spectrum centroid method

Authors

ZHUANG Wei, School of Mechanical Engineering of Jiangnan University, Wuxi, Jiangsu 214222, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu 214222, China
LI Zhenfeng, School of Mechanical Engineering of Jiangnan University, Wuxi, Jiangsu 214222, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu 214222, China
SONG Feihu, School of Mechanical Engineering of Jiangnan University, Wuxi, Jiangsu 214222, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu 214222, China
LI Jing, School of Mechanical Engineering of Jiangnan University, Wuxi, Jiangsu 214222, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu 214222, China
ZHU Guanyu, School of Mechanical Engineering of Jiangnan University, Wuxi, Jiangsu 214222, China

Abstract

At present, the vibration nondestructive testing method has high requirements on hardware system and test conditions, and few practical application systems have been designed..In order to solve this problem, a portable vibration test detection system was built. The time signal was denoised by the method of wavelet threshold denoising. The sub-band spectrum centroid of a certain watermelon variety was extracted. The product of square of transverse diameter and the longitudinal diameter was proposed as the volume parameters. It is found that the frequency point of sub-band spectrum centroid is negatively correlated with the quality of watermelon and the volume parameters, and is less dependent on the intensity of the excitation. Using stepwise multivariate linear regression analysis and surface modeling established the sugar detection model, and the quality of watermelon, the frequency point of sub-band spectrum centroid and the volume parameters were variables. The model established by surface modeling method is better. The determination coefficient of the model reached 0.881 1, the standard deviation of the prediction set sample RMSEP was slightly larger than the standard deviation of the calibration set RMSEC, and RMSEP and RMSEC were both less than 10% of the maximum sugar content. The model can be well used to predict the sugar content of the watermelons of the maturity of 80% to 100% with the frequency point of sub-band spectrum centroid of 216 to 268 Hz.

Publication Date

8-28-2018

First Page

48

Last Page

53

DOI

10.13652/j.issn.1003-5788.2018.08.011

Recommended Citation

Wei, ZHUANG; Zhenfeng, LI; Feihu, SONG; Jing, LI; and Guanyu, ZHU (2018) "Watermelon sugar content detection based on the external characteristics and sub-band spectrum centroid method," Food and Machinery: Vol. 34: Iss. 8, Article 11.
DOI: 10.13652/j.issn.1003-5788.2018.08.011
Available at: https://www.ifoodmm.cn/journal/vol34/iss8/11

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