A Data Mining Approach for the Estimation of Climate Change on the Jowar Crop Yield in India
Ananthoju Vijay Kumar1, T. V. Rajini Kanth2

1Ananthoju Vijay kumar, Compter Science, University College of Sciences, Satavahana University, Karimngar,A.P, India.
2Prof. T.V. Rajini Kanth, Computer Science and Engineering, Sree Nidhi Engineering College, Jawahar Lal Nehru Technological University, Hyderabad, India.

Manuscript received on December 11, 2013. | Revised Manuscript received on December 15, 2013. | Manuscript published on December 25, 2013. | PP: 16-20 | Volume-2 Issue-2, December 2013. | Retrieval Number: B0591122213/2013©BEIESP

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© The Authors. Published By: 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: The Intergovernmental Panel for Climate Change (IPCC) projections on temperature predicts an increase of 1.8 to 4.0°C, by the end of this century. There is a likelihood of a considerable impact on agricultural land-use due to snow melt, availability of irrigation, frequency and intensity of inter and intra seasonal droughts and floods, soil organic transformation matters, soil erosion and availability of energy as a result of global warming, impacting agricultural production. Global warming due to greenhouse effect is expected to impact hydrological cycle viz. precipitation, evapo-transpiration, soil moisture etc., which would create new challenges for agriculture. In the present paper an attempt is made to predict the impact of temperature variance on the Jowar crop production. To know the impact of temperature on the Jowar crop yield in India, an experiment is conducted on the Jowar yield and temperature of India from the period 1950-2011. In the experiment it is proved that Jowar yields are very fewer dependent on the temperature. In the end it is know that there may be other factors impacting the yield at a high level because Jowar crop yields were increased even when the temperature is decreased.
Keywords: Yield Estimation, Data- mining, Correlation, Correlation Analysis, Regression and Regression Analysis.