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TIME SERIES MODELLING AND FORECASTING OF PRICES OF CATTLE FEED IN TAMIL NADU

Indian Agricultural Research Journals

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Title TIME SERIES MODELLING AND FORECASTING OF PRICES OF CATTLE FEED IN TAMIL NADU
 
Creator S. Gokulakrishnan
G. Senthil Kumar
A. Serma Saravana Pandian
J. Ramesh
P. Thilakar
L. Radhakrishnan
A. Ruba Nanthini
 
Subject ARIMA
Cattle
Feed prices
Forecasting
Time series model
 
Description The quantum of inclusion of concentrates in cattle feeding depends solely on availability and its price. An attempt was made to model and forecast the feed prices of dairy cattle feed in Tamil Nadu using time series data collected from Central Feed Technology Unit, Kattupakkam for the period from January 2012 to December 2022. Various time series models viz., Mean, Naïve, Random drift, Seasonal naive, Simple Exponential Smoothing, Holt linear, Holt-winter, Autoregressive Integrated Moving Average - ARIMA and Seasonal Autoregressive Integrated Moving Average models were fitted. The error measures, parameter estimates, forecast estimates and plots were assessed to ascertain the best fit model. Random drift model and ARIMA (0,1,0) model were found to be the best fit models for dairy cattle feed. Further, Holt-winter multiplicative model and SARIMA (1,1,0)(1,0,1) model were identified as the best fit models for the dry cattle feed price forecasting. Thus, these models could be utilized by the various stakeholders to predict the short term price forecasts of cattle feed for efficient planning and making right decisions. 
 
Publisher Tamil Nadu Veterinary and Animal Sciences University
 
Date 2024-06-13
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://epubs.icar.org.in/index.php/IJVASR/article/view/152716
 
Source Indian Journal of Veterinary and Animal Sciences Research; Vol. 53 No. 2 (2024): IJVASR March - April 2024; 47-61
2347-2774
 
Language eng
 
Relation https://epubs.icar.org.in/index.php/IJVASR/article/view/152716/54778
 
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