FISH PRODUCTION ANALYSIS OF CACHAR DISTRICT (ASSAM) USING FUZZY C-MEAN CLUSTERING

AVINASH KUMAR¹, DEEPAK KUMAR²*, SUDIPTO SARKAR^3
1Department of Agricultural Engineering, Assam University, Silchar, Assam, 788 011
²Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667
³Department of Agricultural Engineering, Assam University, Silchar, Assam, 788 011
* Corresponding Author : deepak.civil.iitdelhi@gmail.com, deepak01iitkgp@gm

Received : 03-07-2015     Accepted : 29-10-2015     Published : 14-11-2015
Volume : 7     Issue : 9       Pages : 693 - 697
Int J Agr Sci 7.9 (2015):693-697

Keywords : Cachar, Fish farm size, Fish production, Fuzzy, Cluster analysis, c-mean
Academic Editor : Birendra Bharti
Conflict of Interest : None declared
Acknowledgements/Funding : None declared

Along with agricultural practices, fish farming is one of the main occupations of the north eastern state of India. In the present study, Cachar district of Assam has been selected for studying an optimal pattern of fish farming. Cachar district is one of the poorer areas of Assam. Tea plantation along with fish farming is a source of livelihood of the people of this region. A comprehensive survey for the fish farm size and the respective production has been done in the present study. The collected data is then studied using cluster analysis. Cluster analysis has been done using Fuzzy C-mean Clustering. During this analysis, the data have been studied for single fuzzy c-mean cluster centre, double fuzzy, c-mean cluster centre and triple fuzzy, c-mean cluster centre. The results suggest that single fuzzy, c-mean cluster centre analysis is the best analysis as far as cluster analysis is concerned. Thus, the annual production of the study area can be clustered in a single group and the cluster centre is located at annual production of 900 kilograms per hectare for farm size of 0.54 hectare.