Forecasting Milk Production in India: Strategic Insights for Policymakers and Farmers

India’s dairy sector plays a critical role in rural income, employment, and food security, contributing significantly to the nation’s GDP. This study forecasts India’s milk production for the period 2024–2033, using historical data from 1981–2023 obtained from the Department of Animal Husbandry and Dairying, Government of India. The study adopts ARIMA and Holt’s Exponential Smoothing models for the forecasting of milk production in India, both the models reflected strong fits, with ARIMA excelling in capturing temporal structures and Holt’s model focusing on linear trends. Performance metrics highlighted the high accuracy of both models, with R-squared values exceeding 0.99 and minimal error margins. The research provides actionable insights for farmers, policymakers, and other stakeholders. The results project milk production to increase steadily, reaching 315.6–321.4 million tons by 2033. The study highlights the potential of leveraging these forecasts for strategic planning, including synchronizing production with demand, improving market stability, and addressing infrastructural and environmental challenges.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.48165/ijee.2025.61203
Primary Topic
Agricultural Economics and Practices
Type
article
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Forecasting Milk Production in India: Strategic Insights for Policymakers and Farmers

M. Basavaraj, R. Sıva Subramanıan, Vengalarao Pachava, Siva Krishna Golla et al.
Agricultural Economics and Practices
article

Forecasting Milk Production in India: Strategic Insights for Policymakers and Farmers

M. Basavaraj, R. Sıva Subramanıan, Vengalarao Pachava, Siva Krishna Golla, Basavaprabhu Jirli
article en

Abstract

India’s dairy sector plays a critical role in rural income, employment, and food security, contributing significantly to the nation’s GDP. This study forecasts India’s milk production for the period 2024–2033, using historical data from 1981–2023 obtained from the Department of Animal Husbandry and Dairying, Government of India. The study adopts ARIMA and Holt’s Exponential Smoothing models for the forecasting of milk production in India, both the models reflected strong fits, with ARIMA excelling in capturing temporal structures and Holt’s model focusing on linear trends. Performance metrics highlighted the high accuracy of both models, with R-squared values exceeding 0.99 and minimal error margins. The research provides actionable insights for farmers, policymakers, and other stakeholders. The results project milk production to increase steadily, reaching 315.6–321.4 million tons by 2033. The study highlights the potential of leveraging these forecasts for strategic planning, including synchronizing production with demand, improving market stability, and addressing infrastructural and environmental challenges.

Vol. 61(2)
Central University of Karnataka (IN), National Forensic Sciences University (IN), University of Hyderabad (IN), SRM University (IN), Centre for Multi-disciplinary Development Research (IN)
Openalex Percentile: Top 91%
Agricultural Economics and Practices
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