International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 5
First page : (1538) Last page : (1546)
Article doi: http://dx.doi.org/10.18782/2320-7051.5834
Mahesh Kumar1*, Rohan Kumar Raman2 and Subhash Kumar1
1Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar-848125, India
2ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata-700120, India
*Corresponding Author E-mail: mahesh_smca@yahoo.co.in
Received: 15.09.2017 | Revised: 21.10.2017 | Accepted: 25.10.2017
ABSTRACT
Forecasting of soybean productivity is of immense value and plays an important role in many important decisions. There are several models by the help of which forecasting of production of soybean can be carried out. In this research paper, we have discussed yield of soybean in India for last 40 years. In addition to that, we have forecasted the production of soybean for next 5 years.
Key words: Soy protein; Productivity; ARIMA; Box-Jenkins modeling
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Kumar, M., Raman, R.K. and Kumar, S., Forecasting of Soybean Yield in India through ARIMA Model, Int. J. Pure App. Biosci. 5(5): 1538-1546 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5834