2020•Journal of Pharmacognosy and PhytochemistryOpen access

Forecasting of area, production and yield of jute crop in India using ARIMA model

Chinmayee Patra, Akhilesh Gupta, Ravi Ranjan Kumar

Open full text 2 citations

Abstract

The paper describes an empirical study on the trend of jute production, area & yield in India for the period starting from 1950 to 2017. As West Bengal contributes 80% of total jute production, so West Bengal is also taken for the study. For trend estimation Auto Regressive Integrated Moving Average (ARIMA) model was used. Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) were calculated for the data. Appropriate Box-Jenkins ARIMA model was fitted. Validity of the model was tested using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE). For forecasting area, production and Yield ARIMA (2, 1, 1), (0, 1, 1) and (1, 1, 1) model for India and ARIMA (2, 1, 1), (1, 1, 2) & (2, 1, 1) for West Bengal were used respectively to forecast five leading years. The results also shows area forecast for the year 2022 to be about 778.4224 thousand hectare, production 10982.75 (In ' 000 Bales of 180 Kgs. Each) in India. Forecasted values of area to be 581.5554 thousand hectare and for production 8710.528(In ' 000 Bales of 180 Kgs. Each) in West Bengal.

About this research paper

What this paper is about

The paper describes an empirical study on the trend of jute production, area & yield in India for the period starting from 1950 to 2017. As West Bengal contributes 80% of total jute production, so West Bengal is also taken for the study. For trend estimation Auto Regressive Integrated Moving Average (ARIMA) model was used. Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) were calculated for the data. Appropriate Box-Jenkins ARIMA model was fitted. Validity of the model was tested using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE). For forecasting area, production and Yield ARIMA (2, 1, 1), (0, 1, 1) and (1, 1, 1) model for India and ARIMA (2, 1, 1), (1, 1, 2) & (2, 1, 1) for West Bengal were used respectively to forecast five leading years. The results also shows area forecast for the year 2022 to be about 778.4224 thousand hectare, production 10982.75 (In ' 000 Bales of 180 Kgs. Each) in India. Forecasted values of area to be 581.5554 thousand hectare and for production 8710.528(In ' 000 Bales of 180 Kgs. Each) in West Bengal.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The paper describes an empirical study on the trend of jute production, area & yield in India for the period starting from 1950 to 2017. As West Bengal contributes 80% of total jute production, so West Bengal is also taken for the study. For trend estimation Auto Regressive Integrated Moving Average (ARIMA) model was used. Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) were calculated for the data. Appropriate Box-Jenkins ARIMA model was fitted. Validity of the model was tested using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE). For forecasting area, production and Yield ARIMA (2, 1, 1), (0, 1, 1) and (1, 1, 1) model for India and ARIMA (2, 1, 1), (1, 1, 2) & (2, 1, 1) for West Bengal were used respectively to forecast five leading years. The results also shows area forecast for the year 2022 to be about 778.4224 thousand hectare, production 10982.75 (In ' 000 Bales of 180 Kgs. Each) in India. Forecasted values of area to be 581.5554 thousand hectare and for production 8710.528(In ' 000 Bales of 180 Kgs. Each) in West Bengal.

Key concepts: Autoregressive integrated moving average, Hectare, Mean absolute percentage error, Production (economics), West bengal, Mathematics, Mean squared error, Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Forecasting of area, production and yield of jute crop in India using ARIMA model — Research Paper | ScholarLens