Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2018) [Effective from January 1, 2018]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2017)
[Effective from January 1, 2017]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here
journals IJCMAS
See Guidelines to Authors
Current Issues

Original Research Articles

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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(11): 618-623
DOI: https://doi.org/10.20546/ijcmas.2018.711.075


Forecasting of Area, Yield and Production of Sunflower in Odisha
Abhiram Dash1, R.K. Patnaik2, S.K. Dwibedi3, B.S. Bishoyi4 and P. Shatpathy5
1Department of Agril. Statistics, College of Agriculture, Chiplima, India
2College of Agriculture, Chiplima, India
3Department of Agronomy, College of Agriculture, Bhubaneswar, India
4Department of Agronomy, College of Agriculture, Chiplima, India
5Department of Plant Physiology, College of Agriculture, Chiplima, India
*Corresponding author
Abstract:

Forecasting of sunflower production is of utmost importance in state of Odisha. Forecasted values of area and yield of sunflower are used to forecast production of sunflower. Forecasting done by the help of best fit regression model is quite reliable. Selecting the appropriate models that would fit the data is done through the help of scatter plot of the data. The model to be considered for best fit has to satisfy the error assumptions and must have all the estimated coefficients significant. Among the models satisfying the error assumptions and having all the estimated coefficients significant, the one having highest value of R2, highest value of adjusted R2 and lowest value of RMSE is considered to be the best fit model. This best fit model should be used for forecasting. The compound model and quadratic model are found to be the best fit models for forecasting area and yield of sunflower in Odisha.


Keywords: Forecasting of area, Yield, Production
Download this article as Download

How to cite this article:

Abhiram Dash, R.K. Patnaik, S.K. Dwibedi, B.S. Bishoyi and Shatpathy. P. 2018. Forecasting of Area, Yield and Production of Sunflower in Odisha.Int.J.Curr.Microbiol.App.Sci. 7(11): 618-623. doi: https://doi.org/10.20546/ijcmas.2018.711.075