Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Detection Level of Apple Based on BP Neural Network

Authors
Xiaoling Li, Jimin Yuan
Corresponding Author
Xiaoling Li
Available Online July 2015.
DOI
10.2991/icismme-15.2015.345How to use a DOI?
Keywords
characteristic parameter; BP neural network; apple; detect level.
Abstract

In view of the draw backs of apple grade identification in China, which still relies on photoelectric sorting and manual separation, this paper presents a processing method on the basis of the technology of computer vision and digital image.Utilizing image processing technology, the researcher calculated the length of the long-short-axis, marked the location of it and calculated the 4 parameters, color, mean square,shape,size, as the key characteristics of the BP input of network to build a network and identify the level of apple through analysis of the external characteristics of apple. The optimum structure parameters of the BP neural network which had 9 hidden layer neurons were determined by RP training algorithm Results showed that average accuracy for fruit classification can reach 92.5% by using this model and the executing time of microcomputer for grading of one apple is 9.3 ms This method has the characteristics of high accuracy and good real-time performance

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.345How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoling Li
AU  - Jimin Yuan
PY  - 2015/07
DA  - 2015/07
TI  - Detection Level of Apple Based on BP Neural Network
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1667
EP  - 1671
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.345
DO  - 10.2991/icismme-15.2015.345
ID  - Li2015/07
ER  -