Harum manis mango weevil infestation classification using backpropagation neural network
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Institute of Electrical and Electronics Engineering (IEEE)
2009
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my.unimap-73722010-11-24T02:44:52Z Harum manis mango weevil infestation classification using backpropagation neural network Yasmin, M. Yacob M. Shaiful, A.R.A Zulkifli, Husin Rohani, S Mohamed Farook Abdul Hallis, Abdul Aziz yasmin.yacob@unimap.edu.my Dielectric sensor Neural network Non-destructive detection Weevil Dielectric sensor Image processing Agricultural engineering Link to publisher's homepage at http://ieeexplore.ieee.org Postharvest non-destructive detection methods in fruit quality have been widely studied eversince. This include studies of maturity, bruises and detection of pests or weevil existence in fruits such as apple, banana, zucchini including mango. Regarding fruit grading, the non-destructive methods which can be used are image processing and dielectric properties. Either technique has its own benefits and drawbacks. As for image processing technique, the cost is high since suitable device to acquire the images are by using MRI or X-Ray. Whereas for dielectric method, permittivity is difficult to record because the reading is very small and are prone to environment and temperature influence. This paper analyze about classification of Harum Manis Mango infestation using dielectric sensor which was trained and tested using Back-propagation Neural Network. In addition, reviews regarding Neural Network design is also discussed. 2009-12-06T02:42:24Z 2009-12-06T02:42:24Z 2008-12-01 Working Paper p.1-6 978-1-4244-2315-6 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4786780 http://hdl.handle.net/123456789/7372 en Proceedings of the International Conference on Electronic Design (ICED 2008) Institute of Electrical and Electronics Engineering (IEEE) |
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Dielectric sensor Neural network Non-destructive detection Weevil Dielectric sensor Image processing Agricultural engineering |
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Dielectric sensor Neural network Non-destructive detection Weevil Dielectric sensor Image processing Agricultural engineering Yasmin, M. Yacob M. Shaiful, A.R.A Zulkifli, Husin Rohani, S Mohamed Farook Abdul Hallis, Abdul Aziz Harum manis mango weevil infestation classification using backpropagation neural network |
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yasmin.yacob@unimap.edu.my |
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yasmin.yacob@unimap.edu.my Yasmin, M. Yacob M. Shaiful, A.R.A Zulkifli, Husin Rohani, S Mohamed Farook Abdul Hallis, Abdul Aziz |
format |
Working Paper |
author |
Yasmin, M. Yacob M. Shaiful, A.R.A Zulkifli, Husin Rohani, S Mohamed Farook Abdul Hallis, Abdul Aziz |
author_sort |
Yasmin, M. Yacob |
title |
Harum manis mango weevil infestation classification using backpropagation neural network |
title_short |
Harum manis mango weevil infestation classification using backpropagation neural network |
title_full |
Harum manis mango weevil infestation classification using backpropagation neural network |
title_fullStr |
Harum manis mango weevil infestation classification using backpropagation neural network |
title_full_unstemmed |
Harum manis mango weevil infestation classification using backpropagation neural network |
title_sort |
harum manis mango weevil infestation classification using backpropagation neural network |
publisher |
Institute of Electrical and Electronics Engineering (IEEE) |
publishDate |
2009 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7372 |
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1643788787381174272 |