International Journal of Agriculture, Environment and Biotechnology
  • Year: 2021
  • Volume: 14
  • Issue: 1

Forecasting of Rice Production using the Meteorological Factor in Major States in India and its Role in Food Security

  • Author:
  • P. Mishra1,*, P.K. Sahu2, Monika Devi3, Chellai Fatih4, A.J. Williams5
  • Total Page Count: 12
  • Published Online: Aug 31, 2022
  • Page Number: 51 to 62

1College of Agriculture, JNKVV, Powarkheda, Hoshangabad, Madhya Pradesh, India

2Department of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, NadiaWest Bengal, India

3Department of Mathematics & Statistics, CCSHAU, Hisar, Haryana, India

4Department of Based Education, University of Ferhat Abbas, Algeria

5BTC College of Agriculture and Research Station, IGKV, Bilaspur, Chhattisgarh, India

*Corresponding author: pradeepjnkvv@gmail.com (ORCID ID: 0000-0003-4430-886X)

Online Published on 31 August, 2022.

Abstract

The world as well as in India, rice is playing a major role in food security. Production factors (like rainfall, minimum temperature, fertilizer consumption, an area under irrigation for a particular crop) are very crucial for crop productivity. Forecasting is always important for policy implication and planning purposes of the country. In the present investigation, the projection has been made using simple ARIMA and ARIMAX (with the inclusion of crop inputs in ARIMA models). In terms of less error in model and projection, wise ARIMAX model was found better compared to simple ARIMA. In this present study, forecasting has been attempted with the inclusion of meteorological factors using ARIMA modeling up to the year 2022. This study reveals the future trend of rice production as well as a factor affecting productivity. Among the major states, West Bengal would lead the state in India in rice production, with a productivity of 4758 kg/ha, while Punjab will be the leader in productivity in the year 2022. This prediction would be helpful for policy implication and food security of the country.

By and large, there has been an expansion in the area, production, and yield of rice in major growing states, including the whole of India. In the majority of the states, including the whole of India, the average rainfall has increased during the study period.

In rice area, production, and productivity data, none of the series is stationary; Ist differencing with original data makes all the series stationary.

Inclusions of different factors of productions in the best fitted time series model increase the accuracy and forecasting power compared to the simple ARIMA model.

Keywords

Modelling, Forecasting, Rainfall, Temperature, Food security, ARIMAX