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State of the art in total pulse production in major states of India using ARIMA techniques

Pradeep Mishra, Aynur Yonar, Harun Yonar, Binita Kumari, Mostafa Abotaleb, Soumitra Sankar Das, S. G. Patil

2021Current Research in Food Science44 citationsDOIOpen Access PDF

Abstract

Pulses are staple protein-rich food for Indian vegetarians, and India is one of the largest producers in the world. The present investigation is an attempt to study the trend in the production of total pulses in India using the autoregressive integrated moving average (ARIMA) method. For stochastic trend estimation, yearly data were used for the period from 1961 to 2019. On the basis of the performance of several goodness of model fit criteria, the most suitable ARIMA model is chosen to capture the trend of pulse production. Forecasting for the 10 years from 2020 to 2029 is done, and it is observed that India has the highest forecast value (31.03302 million tonnes) in 2029. This study will play an important role in determining the gap between production of and demand for pulses in the future.

Topics & Concepts

Autoregressive integrated moving averageProduction (economics)EconometricsBox–JenkinsStatisticsTime seriesAutoregressive modelValue (mathematics)State (computer science)Agricultural economicsGoodness of fitMathematicsEconomicsMacroeconomicsAlgorithmAgricultural Economics and PracticesSocial and Economic Development in IndiaMarket Dynamics and Volatility