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Agricultural Pesticides Forecasting in Bangladesh: An Approach to ARIMA (p, d, q) Model

Mir Kaosar Ahamed, Nahid Sultana, Protima Dash, Sayedul Anam

Abstract


Pesticides is the one of the major agricultural inputs in Bangladesh. Bangladesh is not sufficient to produce pesticides to fulfill the demand. In this paper, we analyzed time series data of pesticides and developed linear line for forecasting. ARIMA (p, d, q) is a statistical forecasting model using to develop the linear model. This model also help to make decision in import pesticides in forthcoming year.


Cite as

Mir Kaosar Ahamed, Nahid Sultana, Protima Dash, & Sayedul Anam. (2020). Agricultural Pesticides Forecasting in Bangladesh: An Approach to ARIMA (p, d, q) Model. Journal of Applied Mathematics and Statistical Analysis, 1(2), 1–7. http://doi.org/10.5281/zenodo.4087762


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