An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables

Radoslava Nikolova Gabrova; Lena Filipova Kostadinova-Georgieva

doi:doi:10.11648/j.ijsts.20140205.13

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An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables

Radoslava Nikolova Gabrova, Lena Filipova Kostadinova-Georgieva

Published in International Journal of Science, Technology and Society (Volume 2, Issue 5)

Received: 22 August 2014 Accepted: 30 August 2014 Published: 20 September 2014

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Abstract

Synthesis of classifiers of agricultural products by quality is related with two main tasks –selection symptoms for object description in new space and choice of method for pattern recognition for objects separation in quality classes. A special feature of agricultural products as objects of classification is the different size of their primary descriptions. This feature imposes restrictions on the choice of symptoms and a method for pattern recognition in the synthesis of the classifier. The work proposes an algorithm for unification of the primary descriptions of classified products using interpolation methods. Different methods of interpolation are compared and the one which provides the simplest algorithm is recommended for use. The algorithm is applied to a virtual extension of experimentally derived primary descriptions of potato tubers. The new extended descriptions are applied to the synthesis of the symptoms and classifier. Simulation testing of the classifier, synthesized with the new and original descriptions of the products was conducted in Matlab. The applicability of the proposed algorithm to unify the descriptions of classified agricultural products is proved. The proposed approach removes the restrictions on the choice of method for the synthesis of symptoms and method for pattern recognition and reduces the number of training set of objects.

Published in	International Journal of Science, Technology and Society (Volume 2, Issue 5)
DOI	10.11648/j.ijsts.20140205.13
Page(s)	109-114
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Qualification of Agricultural Products, Interpolation, Classifier, Pattern Recognition

References

[1]	A. Georgiev, L. Kostadinova, Automated systems for qualification and sorting agricultural products, Journal ”Food Industry” №6, Sofia, Bul, 1985.
[2]	A. Georgiev, L. Kostadinova, R. Gabrova, On–line Sorting Apples in Modern Technologies for Providing Quality of Fruit and Vegetable in Chains, Acta Horticulturae, N 712, Proc. Of the IV Intern. Conf. on Managing Quality in Chains, vol. 2, p. 911–914, MQUIC2006, Bangkok, Thailand, 2006.
[3]	A. Georgiev, L. Kostadinova, R. Gabrova, N. Shopov, Increasing the Rate of Operation of Automatic Quality Classifiers for Agricultural products – Software and Hardware Decisions, Acta Horticulturae, N858,p. 431-438, March, 2010
[4]	I. Witten, F. Eibe, Data Mining Practical Machine Learning Tools and Techniques, Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 2005.
[5]	L. Kostadinova, A. Georgiev, R. Gabrova, N. Shopov, Improving the Automatic Classifiers in Systems for on-line “Tracing” the Quality of Agricultural Products, Proceedings Vol. 1 of UNITECH’07. Gabrovo, p.465-469, Bul, 2007.
[6]	L. Kostadinova, A. Georgiev, N. Shopov, Informational Aspects of the Processes in Objectively Determining the Quality of Food, , Proceedings Vol. 1 of UNITECH’10. Gabrovo, p.I-548-I-553, Bul, 2010.
[7]	N. Shopov, A. Georgiev, L. Kostadinova, R. Gabrova, Generating symptoms’ spaces by orthogonal basis functions during automatic qualification of products, Proceedings Vol.1 of UNITECH’07, Gabrovo, p. 420-425, Bul, 2007.
[8]	R. Burden, D. Faires D, Numerical Analysis 9th Brooks/Cole, USA, 2011.
[9]	S. Chapra, R. Canale, Numerical methods for Engineers 6th ed., McGraw–Hill Higher Companies, USA, 2010.
[10]	S. Donevska, B. Donevski, Fast Fourier Transform, Sofia, Bul, 1999.

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APA Style

Radoslava Nikolova Gabrova, Lena Filipova Kostadinova-Georgieva. (2014). An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. International Journal of Science, Technology and Society, 2(5), 109-114. https://doi.org/10.11648/j.ijsts.20140205.13

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ACS Style

Radoslava Nikolova Gabrova; Lena Filipova Kostadinova-Georgieva. An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. Int. J. Sci. Technol. Soc. 2014, 2(5), 109-114. doi: 10.11648/j.ijsts.20140205.13

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AMA Style

Radoslava Nikolova Gabrova, Lena Filipova Kostadinova-Georgieva. An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. Int J Sci Technol Soc. 2014;2(5):109-114. doi: 10.11648/j.ijsts.20140205.13

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@article{10.11648/j.ijsts.20140205.13,
  author = {Radoslava Nikolova Gabrova and Lena Filipova Kostadinova-Georgieva},
  title = {An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables},
  journal = {International Journal of Science, Technology and Society},
  volume = {2},
  number = {5},
  pages = {109-114},
  doi = {10.11648/j.ijsts.20140205.13},
  url = {https://doi.org/10.11648/j.ijsts.20140205.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20140205.13},
  abstract = {Synthesis of classifiers of agricultural products by quality is related with two main tasks –selection symptoms for object description in new space and choice of method for pattern recognition for objects separation in quality classes. A special feature of agricultural products as objects of classification is the different size of their primary descriptions. This feature imposes restrictions on the choice of symptoms and a method for pattern recognition in the synthesis of the classifier. The work proposes an algorithm for unification of the primary descriptions of classified products using interpolation methods. Different methods of interpolation are compared and the one which provides the simplest algorithm is recommended for use. The algorithm is applied to a virtual extension of experimentally derived primary descriptions of potato tubers. The new extended descriptions are applied to the synthesis of the symptoms and classifier. Simulation testing of the classifier, synthesized with the new and original descriptions of the products was conducted in Matlab. The applicability of the proposed algorithm to unify the descriptions of classified agricultural products is proved. The proposed approach removes the restrictions on the choice of method for the synthesis of symptoms and method for pattern recognition and reduces the number of training set of objects.},
 year = {2014}
}

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TY  - JOUR
T1  - An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables
AU  - Radoslava Nikolova Gabrova
AU  - Lena Filipova Kostadinova-Georgieva
Y1  - 2014/09/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijsts.20140205.13
DO  - 10.11648/j.ijsts.20140205.13
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 109
EP  - 114
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20140205.13
AB  - Synthesis of classifiers of agricultural products by quality is related with two main tasks –selection symptoms for object description in new space and choice of method for pattern recognition for objects separation in quality classes. A special feature of agricultural products as objects of classification is the different size of their primary descriptions. This feature imposes restrictions on the choice of symptoms and a method for pattern recognition in the synthesis of the classifier. The work proposes an algorithm for unification of the primary descriptions of classified products using interpolation methods. Different methods of interpolation are compared and the one which provides the simplest algorithm is recommended for use. The algorithm is applied to a virtual extension of experimentally derived primary descriptions of potato tubers. The new extended descriptions are applied to the synthesis of the symptoms and classifier. Simulation testing of the classifier, synthesized with the new and original descriptions of the products was conducted in Matlab. The applicability of the proposed algorithm to unify the descriptions of classified agricultural products is proved. The proposed approach removes the restrictions on the choice of method for the synthesis of symptoms and method for pattern recognition and reduces the number of training set of objects.
VL  - 2
IS  - 5
ER  -

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Author Information

Radoslava Nikolova Gabrova

Dept. Computer systems and technologies, University of Food Technologies, Plovdiv, Bulgaria
Lena Filipova Kostadinova-Georgieva

Dept. Computer systems and technologies, University of Food Technologies, Plovdiv, Bulgaria

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Plain Text BibTeX RIS

APA Style

Radoslava Nikolova Gabrova, Lena Filipova Kostadinova-Georgieva. (2014). An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. International Journal of Science, Technology and Society, 2(5), 109-114. https://doi.org/10.11648/j.ijsts.20140205.13

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ACS Style

Radoslava Nikolova Gabrova; Lena Filipova Kostadinova-Georgieva. An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. Int. J. Sci. Technol. Soc. 2014, 2(5), 109-114. doi: 10.11648/j.ijsts.20140205.13

Copy | Download

AMA Style

Radoslava Nikolova Gabrova, Lena Filipova Kostadinova-Georgieva. An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables. Int J Sci Technol Soc. 2014;2(5):109-114. doi: 10.11648/j.ijsts.20140205.13

Copy | Download

@article{10.11648/j.ijsts.20140205.13,
  author = {Radoslava Nikolova Gabrova and Lena Filipova Kostadinova-Georgieva},
  title = {An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables},
  journal = {International Journal of Science, Technology and Society},
  volume = {2},
  number = {5},
  pages = {109-114},
  doi = {10.11648/j.ijsts.20140205.13},
  url = {https://doi.org/10.11648/j.ijsts.20140205.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20140205.13},
  abstract = {Synthesis of classifiers of agricultural products by quality is related with two main tasks –selection symptoms for object description in new space and choice of method for pattern recognition for objects separation in quality classes. A special feature of agricultural products as objects of classification is the different size of their primary descriptions. This feature imposes restrictions on the choice of symptoms and a method for pattern recognition in the synthesis of the classifier. The work proposes an algorithm for unification of the primary descriptions of classified products using interpolation methods. Different methods of interpolation are compared and the one which provides the simplest algorithm is recommended for use. The algorithm is applied to a virtual extension of experimentally derived primary descriptions of potato tubers. The new extended descriptions are applied to the synthesis of the symptoms and classifier. Simulation testing of the classifier, synthesized with the new and original descriptions of the products was conducted in Matlab. The applicability of the proposed algorithm to unify the descriptions of classified agricultural products is proved. The proposed approach removes the restrictions on the choice of method for the synthesis of symptoms and method for pattern recognition and reduces the number of training set of objects.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - An Approach for Eliminating Restrictions on the Synthesis of Quality Classifiers of Fruits and Vegetables
AU  - Radoslava Nikolova Gabrova
AU  - Lena Filipova Kostadinova-Georgieva
Y1  - 2014/09/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijsts.20140205.13
DO  - 10.11648/j.ijsts.20140205.13
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 109
EP  - 114
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20140205.13
AB  - Synthesis of classifiers of agricultural products by quality is related with two main tasks –selection symptoms for object description in new space and choice of method for pattern recognition for objects separation in quality classes. A special feature of agricultural products as objects of classification is the different size of their primary descriptions. This feature imposes restrictions on the choice of symptoms and a method for pattern recognition in the synthesis of the classifier. The work proposes an algorithm for unification of the primary descriptions of classified products using interpolation methods. Different methods of interpolation are compared and the one which provides the simplest algorithm is recommended for use. The algorithm is applied to a virtual extension of experimentally derived primary descriptions of potato tubers. The new extended descriptions are applied to the synthesis of the symptoms and classifier. Simulation testing of the classifier, synthesized with the new and original descriptions of the products was conducted in Matlab. The applicability of the proposed algorithm to unify the descriptions of classified agricultural products is proved. The proposed approach removes the restrictions on the choice of method for the synthesis of symptoms and method for pattern recognition and reduces the number of training set of objects.
VL  - 2
IS  - 5
ER  -

Copy | Download