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Time series analysis and ARIMA models for milk yield data: TIME SERIES ANALYSIS OF MILK YIELD DATA

Indian Agricultural Research Journals

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Title Time series analysis and ARIMA models for milk yield data: TIME SERIES ANALYSIS OF MILK YIELD DATA
 
Creator Kumar, Vinod
Navneet, Navneet Kaur
 
Subject Trend analysis
Stationarity
Forecasting
White noise
Autocorrelation
 
Description Milk production is an important way for farmers to increase their income and provide more nutritious food for their families. Milk production is an important source of income for small and marginal farmers and farm workers. Milk production has become an important source of livelihood in large urban areas where the demand for milk is high. The demand for milk is increasing rapidly in India, especially due to population growth. People are more interested in healthy packaged foods that can be satisfied with dairy products. The country's population is expected to reach 1.5 billion by 2035. In this context, it is important to be aware of developments in recent years and to anticipate future milk supply and demand in order to improve and sustain the growth and development of the sector. Therefore, secondary data was collected from IDF Nagla, Pantnagar, under the College of Veterinary and Animal Science, G.B. Pant University of Agriculture and Technology. Time series analysis was carried out to adjust the data and forecast the milk production for the coming years. Therefore, ARIMA (0,1,1) (1,1,1)12  for Crossbred cows,  ARIMA (1,1,0) (0,1,1)12  for Sahiwal cows and ARIMA (0,1,1) (2,1,0)12 for buffaloes were found to be more appropriate for predicting milk production using GRETL package.
 
Publisher Indian Dairy Association, New Delhi, India
 
Date 2024-06-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://epubs.icar.org.in/index.php/IJDS/article/view/127150
 
Source Indian Journal of Dairy Science; Vol. 77 No. 3 (2024): May-June 2024
2454-2172
0019-5146
 
Language eng
 
Relation https://epubs.icar.org.in/index.php/IJDS/article/view/127150/54886