DOI Prefix : 10.9780 | Journal DOI : 10.9780/22307850
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Volume : VI, Issue : I, February - 2016

PREDICTION OF CROP YIELD USING WEATHER AND CLIMATE PARAMETERS FOR SUGAR CANE YIELD IN INDIA

M. Naveen Kumar., M. Balakrishnan.

DOI : 10.9780/22307850, By : Laxmi Book Publication

Abstract :

In India, sugarcane is the key raw material for the production of sugar. Most of the sugarcane produced in India is a 10-12 month crop planted during January to March. Besides, 18 to 20 months crop is also practiced in northern Maharashtra, parts of Telangana, Tamil Nadu, Andhra Pradesh and Karnataka. Sugarcane yield in Telangana was considerably low (nearly half) compared to that of Maharashtra.

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Cite This Article :

M. Naveen Kumar., M. Balakrishnan.(2016). PREDICTION OF CROP YIELD USING WEATHER AND CLIMATE PARAMETERS FOR SUGAR CANE YIELD IN INDIA. Indian Streams Research Journal, Vol. VI, Issue. I, DOI : 10.9780/22307850, http://isrj.org/UploadedData/7954.pdf

References :

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  29. Draper, N.R. and Smith, H .(1998). Applied Regression Analysis, 3rd ed. New York: John Wiley.
  30. B.M. Church, A. Gnanasakthy, Estimating sugar production from preharvest samples, Br. Sugar Beet Rev. 53 (3) (1983) 9–11.
  31. Agrawal, R., Jain, R.C., Jha, M.P. and Singh, D. (1980). Forecasting of rice yield using climatic variables. Ind. J. Agri. Sci. 50(9), 680-684.
  32. Agrawal, R., Jain, R.C. and Mehta, S.C. (2001). Yield forecast based on weather variables and agricultural inputs on agro climatic zone basis. Ind. J. Agri. Sci. 71(7), 487-490.
  33. Agrawal, R., Kumar, A. (2007). Weather Based Sugarcane Yield Prediction Model for the State of Uttar Pradesh. Journal of Indian Society of Agricultural Statistics. 61(3):313-327.
  34. D.B. Lobell, W. Schlenker, and J. Costa-Roberts. Climate trends and global crop production since 1980. Science, 333(6042):616, 2011.
  35. 8.Bazgeer, S., Kamali, G.A., Eslamian, S.S., Sedaghakerdar, A., and Moradi, I. (2008). Pre-harvest wheat yield prediction using agrometeorological indices for different regions of Kordestan Province, Iran. Res. J. Env. Sci. 2(4), 275-280.
  36. Agrawal, R., Jain, R.C., Jha, M.P. (1986). Models for studying rice crop-weather relationship, Mausam 37(1), 67-70.
  37. Agrawal, R., Jain, R.C., Jha, M.P. and Singh, D. (1980). Forecasting of rice yield using climatic variables. Ind. J. Agri. Sci. 50(9), 680-684.
  38. Agrawal, R., Jain, R.C. and Mehta, S.C. (2001). Yield forecast based on weather variables and agricultural inputs on agro climatic zone basis. Ind. J. Agri. Sci. 71(7), 487-490.
  39. Agrawal, R., Kumar, A. (2007). Weather Based Sugarcane Yield Prediction Model for the State of Uttar Pradesh. Journal of Indian Society of Agricultural Statistics. 61(3):313-327.
  40. D.B. Lobell, W. Schlenker, and J. Costa-Roberts. Climate trends and global crop production since 1980. Science, 333(6042):616, 2011.

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