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Estimation of the Influence of Fertilizer Nutrients Consumption on the Wheat Crop yield in India- a Data mining Approach
A. Vijay Kumar1, T.V. Rajini Kanth2
1A.Vijay Kumar,  Department of Computer Science, University  Karimnagar, (Andhra Pradesh), India.
2T.V.Rajini Kanth, Department of Computer Science and Engineering,  Technology, Jawahar Lal Nehru Technology, Hyderabad,(Andhra Pradesh), India.
Manuscript received on November 27, 2013. | Revised Manuscript received on December 13, 2013. | Manuscript published on December 30, 2013. | PP: 316-320 | Volume-3, Issue-2, December 2013. | Retrieval Number:  B2475123213/2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: IThe forecasting of agricultural yields is a challenging and desirable task for every nation. In Indian economy agriculture sector has a major role. In the total India rural population above seventy percent of the population depends on the agriculture to lead their lives. In the index of the Indian exports, agriculture exports stood at the fifth place. Today agriculture farmers are not only producing yields but also producing the agriculture data. This data can be collected, stored and analyzed for the useful information. In the present paper an attempt is made to apply the data mining techniques to extract useful information from the agriculture dataset of the annual measurements of the fertilizer nutrients consumed and wheat crop yields in India. The present experiment is based on the data collected from the sources like the Department of Agriculture and Statistics, Government of India and Department of Agriculture and Co operation, Government of India. The results of the present paper proved that the fertilizer nutrients consumed are the most influential factors of the wheat crop yield in India.
Keywords: Yield estimation, Data mining, Precision agriculture, Regression and Regression analysis.