Affiliation:
1. College of Engineering, China Agricultural University, Beijing 100083, China
2. College of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China
Abstract
Inner-injury fragrant pears are easily prone to rot during storage. Discriminating inner injury in the Korla fragrant pear from the normal pear is difficult as the flesh may be injured while the peel of the fruit remains intact. This study demonstrated the recognition of inner-injury pears based on their electric characteristics to pick out the inner-injury pears before storage. The electrical parameters parallel equivalent capacitance, quality factor, parallel equivalent inductance, parallel equivalent resistance, complex impedance, and phase angle were measured using the fruit electrical characteristic detection instrument. Principal component analysis and correlation analysis were used to determine the characteristic parameters, connected with the qualitative value of the fragrant pear to establish three discrimination models. When the measurement frequency was 100 kHz, compared with the Naïve Bayes and K-nearest neighbor models, the Support Vector Machine model with the characteristic parameters of quality factor, parallel equivalent resistance, and phase angle performed best. The recognition accuracy of the test set was 92.00%, the precision was 92.41%, the recall was 97.33%, and the F1 score was 0.95. Therefore, the electrical characteristic technique effectively detected the inner injury of fragrant pears and provided a new way to distinguish the inner injury of fruits.
Funder
Xin Jiang Production and Construction Corps Strong Youth Science and Technology Innovation Key Talents Project
Regional Science Fund Project of National Natural Science Foundation of China
Subject
Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science
Reference41 articles.
1. Investigation on storage and freshness of Xinjiang Korla fragrant pear;Jia;China Fruits,2014
2. Liu, Y. (2021). Study on Mechanical Damage Mechanism and Effect Evaluation on Storage of Korla Fragrant Pear. [Ph.D. Thesis, Northeast Agricultural University].
3. Nondestructive prediction of mechanical parameters to apple using hyperspectral imaging by support vector machine;Zhang;Food Anal. Methods,2022
4. Detection of early bruises in jujubes based on reflectance, absorbance and Kubelka-Munk spectral data;Yuan;Postharvest Biol. Technol.,2022
5. Detection of early bruises on apples using hyperspectral imaging combining with YOLOv3 deep learning algorithm;Pang;J. Food Process Eng.,2022
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献