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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(4): 876-881
DOI: https://doi.org/10.20546/ijcmas.2021.1004.092


Development of Statistical Model to Analyse the Growth in Area and Production of Sugarcane in India
Siddu Hanabar*, Y. N. Havaldar, K. V. Ashalatha, D. K. Vinay and Anand
Department of Agricultural Statistics, College of Agriculture, UAS, Dharwad-580005, Karnataka, India
*Corresponding author
Abstract:

The present study was undertaken to analyse the growth rate in area and production of sugarcane in India. The study was based on secondary data from 1990-91 to 2014-15. The data was collected from different sources viz., Directorate of Economics and Statistics (DES) and website. To analyse the trend of area and production of sugarcane, Linear and Non-linear regression models were used. As a part of it six models were fitted to the area and production of sugarcane crop and the best models were selected based on highest co-efficient of determination (R2) which explained the variation in dependent variable by the independent variables, least mean square error and standard error. Results revealed that exponential model was showed significantly best fit for predicting in both area and production of sugarcane based on time period. The exponential model was found to be best fit with highest R2, least mean square error and standard error. Quadratic and cubic models were also found to be the best fit for predicting area and production of sugarcane.


Keywords: Linear and Non-linear regression models, Area, Production, Sugarcane, Stanadard error etc
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How to cite this article:

Siddu Hanabar, Y. N. Havaldar, K. V. Ashalatha, D. K. Vinay and Anand. 2021. Development of Statistical Model to Analyse the Growth in Area and Production of Sugarcane in India.Int.J.Curr.Microbiol.App.Sci. 10(4): 876-881. doi: https://doi.org/10.20546/ijcmas.2021.1004.092