Development of ANN based Efficient Fruit Recognition Technique

Development of ANN based Efficient Fruit Recognition Technique

Bhanu Pratap

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Navneet Agarwal

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Sunil Joshi

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Suriti Gupta

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1 College of technology and Engineering and udaipur

GJCST Volume 14 Issue C5

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References

Marius Buzera,Voicu Groza,Gabriela Prostean,Octavian Prostean (2008). Techniques of Analysing the Colour of Produces for Automatic Classification.
David Clausi (2002). An analysis of co-occurrence texture statistics as a function of grey level quantization.
A Cochocki,R Unbehauen (1993). Neural networks for optimization and signal processing.
G Feng,C Qixin (2004). Study on color image processing based intelligent fruit sorting system.
Y Gejima,H Zhang,M Nagata (2003). Judgment on level of maturity for tomato quality using L* a* b* color image processing.
R Gonzalez,R Woods,S Eddins (2004). Digital image processing using MATLAB.
D Jayas,J Paliwal,N Visen (2000). Review Paper (AE—Automation and Emerging Technologies).
G Kay,G Jager (1992). A versatile colour system capable of fruit sorting and accurate Object classification.
James Keller,Susan Chen,Richard Crownover (1989). Texture description and segmentation through fractal geometry.
M Kyaw,S Ahmed,Z Sharrif (2009). Shape-based sorting of agricultural produce using support vector machines in a MATLAB/ SIMULINK environment.
G Osman,M Hitam (2013). Skin colour classification using linear discriminant analysis and colour mapping co-occurrence matrix.
Mari Partio,Bogdan Cramariuc,Moncef Gabbouj (2002). An Ordinal Co-occurrence Matrix Framework for Texture Retrieval.
P Rao,S Renganathan (2002). New approaches for size determination of apple fruits for automatic sorting and grading.
S Riyadi,A Rahni,M Mustafa,A Hussain (2007). Shape characteristics analysis for papaya size classification.
L Tsoukalas,R Uhrig (1996). Fuzzy and neural approaches in engineering.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Bhanu Pratap. 2014. \u201cDevelopment of ANN based Efficient Fruit Recognition Technique\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C5): .

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GJCST Volume 14 Issue C5
Pg. 1- 6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Artificial Neural Network color fruit classification gray level co-occurrence matrix texture

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Submission ReceivedDecember 6, 2013
RevisedDecember 6, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

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v1.2

Issue date

July 28, 2014

Language

English

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Article Matrices

Total Score: 104

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Bhanu Pratap, Navneet Agarwal, Sunil Joshi, Suriti Gupta (PhD/Dr. count: 0)

View Count (all-time): 251

Total Views (Real + Logic): 8736

Total Downloads (simulated): 2176

Publish Date: 2014 07, Mon

Monthly Totals (Real + Logic):

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Total Views: 8736

Total Downloads: 2176

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