Crop Coverage Data Classification using Support Vector Machine

Crop Coverage Data Classification using Support Vector Machine

Tarun Rao PhD

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α Dayananda Sagar College of Engineering

Crop Coverage Data Classification using Support Vector Machine

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Abstract

A statistical tool which can be used in various applications ranging from medical science to agricultural science is support vector machines. The proposed methodology used is support vector machine and it isused to classify a raster map. The dataset used herein is of Gujarat state agriculture map. The proposed approach is used to classify raster map into groups based on crop coverage of various crops. One group represents rice crop coverageand the othermillets crop coverage and yet another that of cotton crop coverage.Various statistical parameters are used to measure the efficacy of the proposed methodology employed.

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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

Tarun Rao. 2016. \u201cCrop Coverage Data Classification using Support Vector Machine\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C3): .

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GJCST Volume 16 Issue C3
Pg. 5- 10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: C.1.2

Submission ReceivedDecember 10, 2015
Peer Review Double Blind
Handling Editor
Accepted December 31, 2015
Published January 15, 2016

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v1.2

Issue date

July 1, 2016

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Article Matrices

Total Score: 101

Country: Unknown

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

Authors: Tarun Rao (PhD/Dr. count: 0)

View Count (all-time): 303

Total Views (Real + Logic): 7580

Total Downloads (simulated): 2077

Publish Date: 2016 07, Fri

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Total Views: 7580

Total Downloads: 2077

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