Detection of Localized Damage in Tomato Based on Bioelectrical Impedance Spectroscopy

被引:0
|
作者
Zhang, Yongnian [1 ]
Chen, Yinhe [1 ]
Chang, Zhenwei [1 ]
Zhao, Jie [1 ]
Wang, Xiaochan [1 ]
Xian, Jieyu [1 ]
机构
[1] Nanjing Agr Univ, Coll Engn, Nanjing 210095, Peoples R China
来源
AGRONOMY-BASEL | 2024年 / 14卷 / 08期
关键词
bioimpedance spectroscopy; damage class; Spearman feature selection; classification algorithms; NUTRITION LEVEL; COMPRESSION; DIAGNOSIS; BEHAVIOR;
D O I
10.3390/agronomy14081822
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This paper proposes a method for localized damage detection in tomato, with the objective of enabling the detection of bruises prior to sorting. Bioimpedance spectroscopy technology is employed to assess the extent of localized damage in tomato. An equivalent circuit model is constructed, and the impedance spectroscopy data are obtained by developing a local damage measurement platform for tomatoes using a self-designed circular four-electrode BIS sensor. The electrical parameters are then extracted by fitting the constructed equivalent circuit model to the tomato data. Subsequently, we analyze the variation rules of the electrical parameters in different damage levels. To reduce the dimensionality of the features, including biological variables, fitted electrical parameters, and tomato ripeness, we employ Spearman feature selection. We then classify the reduced features by combining the advantages of the support vector machine and the artificial neural network. The results demonstrate that the designed circular four-electrode BIS sensor can non-destructively measure localized damage conditions in tomato. A localized damage measurement platform for tomatoes has been constructed using this sensor. A comparison of the impedance measurements obtained using the designed circular four-electrode BIS sensor with those obtained using a needle sensor proposed by previous scholars revealed that both sensors exhibited a decrease in impedance with increasing damage degree. This finding indicates that the designed circular four-electrode BIS sensor is an effective tool for characterizing damage conditions in tomatoes. The design of the tomato circular four-electrode BIS sensor is an effective means of characterizing tomato damage. The Spearman-SVM-ANN damage classification algorithm, based on the Spearman feature selection, effectively classified tomato damage with a 98.765% accuracy rate. The findings of this study provide a reference for the grading and transportation of tomatoes after harvest.
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页数:16
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