Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine

Apples are one of the most widely planted fruits in the world, with an extremely high annual production. Several issues should be addressed to avoid the damaging of samples during the quality grading process of apples (e.g., the long detection period and the inability to detect the internal quality...

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Bibliographic Details
Main Authors:	Bai, Y. (Author), Liu, Y. (Author), Luo, M. (Author), Meng, J. (Author), Ren, Q. (Author), Su, S.W (Author), Wang, C. (Author), Zhang, S. (Author), Zhang, W. (Author), Zou, X. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	apple quality grading Apple quality grading computational fluid dynamics Computational fluid dynamics Computational fluid dynamics simulations Decision trees Detection system Digital storage Discriminant analysis electronic nose Electronic nose Fruits Internal quality K-near neighbor K-nearest neighbor Machine design Motion compensation Nearest neighbor search Nearest-neighbour Nose detection Principal component analysis Quality control Quality grading support vector machine Support vector machine classifiers Support vector machines Support vectors machine
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Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine

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