ARIMA & ARIMAX Analysis on the Effect of Variability of Rainfall, Temperature on Wheat Yield in Haryana

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  • Megha Goyal
  • Subodh Agarwal CCSHAU, Hisar
  • Suman Ghalawat CCSHAU, Hisar
  • Joginder Singh Malik CCSHAU, Hisar


The national and state governments require crop production forecasts to make a variety of policy decisions on import-export, storage, distribution, price, and other factors. This article presents a pre-harvest forecasting method specially developed for crops grown in the western region of Haryana (India). The western region includes Hisar, Sirsa, and Bhiwani districts. For crop forecasting in the Hisar, Sirsa, and Bhiwani regions ARIMA and ARIMAX models have been framed. For the development of the ARIMAX model, climate data during the growing season of the crop were used as input along with the crop yield. The percentage difference between the root mean square error and the wheat yield estimations determined by the real-time yield(s) indicates how well-competing models performed in terms of forecasting. The ARIMAX model performs well at all time points with a lower measurement error compared to the ARIMA model.

Author Biographies

  • Megha Goyal

    Assistant Professor, Department of Business Management

    CCSHAU, Hisar

  • Subodh Agarwal, CCSHAU, Hisar

    Assistant Professor, Department of Business Management

    CCSHAU, Hisar

  • Joginder Singh Malik, CCSHAU, Hisar

    Professor, Department of Extension Education

    CCSHAU, Hisar


Ahmer S. A., Singh P. K., Ruliana R., Pandey A. K. and Gupta S. (2023). comparison of ARIMA, Sutte ARIMA, Holt-Winters and NNAR models to predict food grain in India. Forecasting 5, 138-152.

Akaike, H. (1969). Fitting autoregressive models for prediction, Ann. Inst. Statist. Math, 21, 243-47.

Box, G.E.P. and G.M. Jenkins (1976). Time series analysis. Forecasting and Control, Holden Day, San Francisco.

Dharmaraja S., Jain V., Anjoy P., and Chandra H. (2020). Empirical analysis for crop yield forecasting in India, Agric Res. 9(1), 132-138.

Goyal M. & Verma U. (2015). Development of weather-spectral models for pre-harvest wheat yield prediction on agro-climatic zone basis in Haryana (india), Int. J. Agricult. Stat. Sci. 11(1), 73-79.

Goyal M., Goyal S. K., Agarwal S. and Kumar N. (2021). Forecasting of Indian Agricultural Export using ARIMA model, Journal of Community Mobilization and Sustainable Development, 16(3), 655-58.

Kumar S., Mishra H. S., Sharma A. K. and Kumar S. (2001). Effect of weather variables on the yield of early, timely and late sown wheat in the Tarai region. Agric. Physics1, 58-62.

Ljung, G.M. and G.E.P. Box (1978). On a measure of lack of fit in time series models, Biometrika, 65, 297-303.

Marquardt, D.W. (1963). An algorithm for least-squares estimation of non-linear parameters, J. Society for Industrial and Applied Mathematics, 2, 431-41.

Parveen Kumar Nimbrayan, P K Muhammed Jaslam, Aniket Chandanshive (2022), Modelling and Forecasting of Area, Production and Productivity of Tomatoes in Haryana and India. Indian Journal of Extension Education, 58(2), 205-208.

Pawan Kumar Sharma, Sudhakar Dwivedi, Lyaqat Ali and R.K. Arora (2018) Forecasting Maize Production in India using ARIMA Model. Agro Economist - An International Journal, 5(1): 01-06, June 2018DOI: 10.30954/2394-8159.01.2018.1

Prakash P., Jaganathan D., Immanuel S., Lama A., Sreekumar J. and Sivakumar (2022), Forecasting of Sweet Potato (Ipomoea batatas L.) Prices in India. (2022). Indian Journal of Extension Education, 58(2), 15-20.

Sanjeev and Verma U. (2016). ARIMA versus ARIMAX modelling for sugarcane yield prediction, International Agricultural Statistics of Science in Haryana, 12(2)., 327-334.

Schwarz, G. (1978). Estimating the dimension of a model, The annals of Statistics, 62, 461-64.

Vikash, Meena S. S., and Verma R. K. (2022), Forecasting of Vegetable Production in Haryana by Ordinary Least Square Method and ARIMA Model. Indian Journal of Extension Education, 58(4), 71-75.






How to Cite

ARIMA & ARIMAX Analysis on the Effect of Variability of Rainfall, Temperature on Wheat Yield in Haryana. (2024). Indian Journal of Extension Education, 60(1), 95-99.

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