Nondestructive classification of internal quality of apple based on dielectric feature selection

• Published in: Nong ye gong cheng xue bao Vol. 29; no. 21; pp. 279 - 287
• Main Authors: Cai, Cheng, Li, Yongchao, Ma, Huiling, Li, Xiaolong
• Format: Journal Article
• Language: Chinese
• Published: 01.11.2013
• Subjects: Classification; Cost engineering; Crops; Dielectrics; Fruits; Insects; Pests; Selectors
• ISSN: 1002-6819
• DOI: 10.3969/j.issn.1002-6819.2013.21.035

In order to reduce the cost of the application of dielectric signals in nondestructive detection of fruits and crops, it is important to find effective methods to select the key features from all other dielectric features. In this paper, we propose a two stage framework to achieve a low cost effective apple internal quality estimation system. In the first stage, we search a compact discriminative dielectric feature sub set. And in the second stage, based on the dielectric features selected by the first stage, we propose a nondestructive apple internal quality estimation system by evaluating several classifiers. With the greedy selector, the best classification rates are 91.22% and 95.95% when the number of the selected dielectric features is 4 and 10 respectively. The results show the dielectric features are highly relevant to the apple internal quality, and apple internal quality can be estimated with a compact set of dielectric features. The experimental results provide a reference for quick and nondestruct