IDEAS home Printed from https://ideas.repec.org/a/ags/ajaees/368051.html
   My bibliography  Save this article

Forecasting Tomato Price and Arrival Patterns in Krishi Upaj Mandis, Rajnandgaon, Chhattisgarh using ARIMA Models

Author

Listed:
  • Sonvanee, O. P.
  • Bhargav, Pankaj

Abstract

Seasonal indices are a statistical method using for explore of seasonal pattern of time series data. Twelve months ratio to moving average method is good for know about pattern of arrival and price around the year. The study was revealed that the peak arrivals season of tomato was found in month August (3084) to October (1767) and Peak price of tomato observed in the month Jun to August months of the year. In this study, for the use of farmers, traders and policy makers, we have made forecasts by most ARIMA Model (Box-Jenkins method) with the help of statistical package R (v 4.1) for a few years in which it was found that the highest arrivals and price in July-August months of the year. It is noticed that the positively relationship between price and arrivals of tomato in Krishi Upaj Mandi, Rajnandgaon, Chhattisgarh. Price of tomato was ranging from the minimum Rs.225/ qtl. to Rs. 9000/qtl. during the last eight years [year 2016-17 to Oct. 2023 (session 2023-24)]. The findings suggest that financial support for off-season protected cultivation and strategic planning in annual budgets can help mitigate price fluctuations.

Suggested Citation

  • Sonvanee, O. P. & Bhargav, Pankaj, 2024. "Forecasting Tomato Price and Arrival Patterns in Krishi Upaj Mandis, Rajnandgaon, Chhattisgarh using ARIMA Models," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 42(8), pages 1-11.
  • Handle: RePEc:ags:ajaees:368051
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/368051/files/Sonvanee4282024AJAEES121472.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ajaees:368051. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://journalajaees.com/index.php/AJAEES/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.