Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Clustering of Crops for Determining the Seasonal Crop Insurance Using Machine Learning Techniques


Affiliations
1 PG & Research Department of Computer Science, Dr.N.G.P Arts and Science College, Coimbatore-641048, India
2 Department of Computer Applications, Dr.N.G.P Arts and Science College, Coimbatore-641048, India
     

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

  • 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.

Abstract Views: 281

PDF Views: 2




  • Clustering of Crops for Determining the Seasonal Crop Insurance Using Machine Learning Techniques

Abstract Views: 281  |  PDF Views: 2

Authors

K. P. Mangani
PG & Research Department of Computer Science, Dr.N.G.P Arts and Science College, Coimbatore-641048, India
R. Kousalya
Department of Computer Applications, Dr.N.G.P Arts and Science College, Coimbatore-641048, India

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





DOI: https://doi.org/10.36039/ciitaas%2F10%2F1%2F2018%2F167838.16-18