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.

How to Cite
RAO, Tarun. Crop Coverage Data Classification using Support Vector Machine. Global Journal of Computer Science and Technology, [S.l.], july 2016. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/1383>. Date accessed: 17 sep. 2019.