Modeling and Forecasting of Milk Production in the Western Zone of Tamil Nadu

Background: In India, the dairy business is expanding dramatically. Tamil Nadu milk cooperatives significantly contribute to growth of sector in state. terms delivering economic income for smallholders and satisfying customer demand, identification production one primary financial operations made India. Considering this, it crucial understand future enhance sustain sector’s development. Methods: The present investigation attempts predict forecast using time series models. Yearly data from 1976 2020 was taken. study considered Auto-Regressive Integrated Moving Average (ARIMA) Artificial Neural Network (ANN) select appropriate stochastic model forecasting Nadu. Further statistical modeling procedures employed reveal that selection a suitable will always depend on nature data. Result: Results revealed ARIMA selected as best despite ANN, even if most powerful model. CAGR forecasted 2020-2025 0.02%. Model adequacy criteria like RMSE, MAPE MAE are used. Based observation (1, 1, 2) chosen over ANN