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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 9, Special Issue 5 (2020)

Time-series modeling and forecasting of mustard yield in Haryana

Author(s):

Ajay Kumar, Ravita, PK Muhammed Jaslam, Deepankar and Veer Sain

Abstract:
The importance of agriculture for Indian society and its role in economy, employment, food security, self-reliance and general well-being can hardly be over emphasized. Agriculture nowadays has become highly input and cost-intensive. Under the changed scenario today, forecasting of various aspects relating to agriculture are becoming more essential. In this study, Box-Jenkins’ autoregressive integrated moving average (ARIMA) technique was applied to forecast mustard yield in Gurugram and Mahendragarh districts of Haryana. ARIMA (0, 1, 1) and (1, 1, 0) model has been found suitable for Gurugram and Mahendragarh districts respectively.

Pages: 445-451  |  719 Views  234 Downloads

How to cite this article:
Ajay Kumar, Ravita, PK Muhammed Jaslam, Deepankar and Veer Sain. Time-series modeling and forecasting of mustard yield in Haryana. J Pharmacogn Phytochem 2020;9(5S):445-451.

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