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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Maharana Pratap University of Agriculture and Technology

Development of ANN based Efficient Fruit Recognition Technique

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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.

How to Cite 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

Submission ReceivedDecember 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

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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): 277

Total Views (Real + Logic): 8789

Total Downloads (simulated): 2392

Publish Date: 2014 07, Mon

Monthly Totals (Real + Logic):

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Month 3: 23 views
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Month 5: 36 views
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Total Views: 8789

Total Downloads: 2392

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