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Authors
Affiliations
1 PG & Research Department of Computer Science, Dr.N.G.P Arts and Science College, Coimbatore-641048, IN
2 Department of Computer Applications, Dr.N.G.P Arts and Science College, Coimbatore-641048, IN
Source
Automation and Autonomous Systems, Vol 10, No 1 (2018), Pagination: 16-18
Abstract
Weather Based Crop Insurance scheme depends on various factors such as Climate, Yield, Area coverage and humidity as recorded at a local weather station. In India the climate variability will make further impact on crop yield and insurance. It is possible to help the government agencies to insure the farmers by recommending the data mining techniques based on climatic factors of crop. This paper focusses on the application of clustering using k-means algorithm to cluster the crops to be insured based on adverse weather conditions such as Excess and deficit rainfall that prevails in the agriculture blocks of Coimbatore district.
Keywords
Data Mining, Agriculture, Weather Based Crop Insurance, Clustering, K-Means.
References
- Applying Data Mining Techniques to Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Districts in Bangladesh,A.T.M Shakil Ahamed, Navid Tanzeem Mahmood, Nazmul Hossain, Mohammad Tanzir Kabir, Kallal Das, Faridur Rahman, Rashedur M Rahman ,IEEE,2015.
- Correlation Analysis of Meteorological Data in Region of Tamil Nadu Districts Based On K- Means Clustering Algorithm,M.Mayilvaganan,P.Vanitha,International Journal of Computer Science Trends and Technology (IJCST) – Volume 3 Issue 3, May-June 2015
- Enhanced Crop Yield Prediction and Soil Data Analysis Using Data Mining, P. Kanjana Devi and S.Shenbagavadivu , International Journal of Modern Computer Science (IJMCS) Volume 4, Issue 6, December, 2016
- http://www.tnagrisnet.tn.gov.in/go_det.php
- https://www.researchgate.net/publication/254073298-Weather-Based Crop Insurance in India.
