International Journal of Computer Techniques Volume 12 Issue 3 | Predictive Modeling of Milk Production Using Artificial Intelligence and Machine Learning Techniques
International Journal of Computer Techniques Volume 12 Issue 3 | Predictive Modeling of Milk Production Using Artificial Intelligence and Machine Learning Techniques
Ms. V. Manibabu – Research Scholar, Dept. of Computer Science, Shrimati Indira Gandhi College, Trichy-2
Dr. M. Gomathy – Research Supervisor, Dept. of Computer Science, Shrimati Indira Gandhi College, Trichy-2
Abstract
This study presents a predictive modeling framework that estimates milk yield using **AI and ML techniques**. Real-world datasets are analyzed using features like **breed, lactation stage, feed intake**, and **environmental conditions**. Models including **Random Forest, SVM, Gradient Boosting**, and **ANN** were evaluated through **R², RMSE**, and **MAE**. Results show that ensemble and neural methods significantly outperform traditional techniques, offering a robust approach to **smart dairy management** and **precision farming**.
Artificial Neural Networks and Gradient Boosting Machines excelled in modeling nonlinear relationships in dairy data. Their integration empowers dairy farmers to make **proactive decisions**, reduce resource waste, and increase productivity. Real-time data systems, including sensor feeds for nutrition, health, and weather conditions, should be explored to enhance accuracy and promote **intelligent, adaptive farm ecosystems**. This research positions AI as a transformative force in the future of dairy technology.
References
Suseendran & Duraisamy (2021). Prediction of Dairy Milk Production Using ML Techniques. DOI: 10.1007/978-981-33-6645-0_16
Alwadi et al. (2024). Smart Dairy Farming Based on Deep ML. DOI: 10.1007/s41870-023-01234-5
Khan & Majeed (2022). Milk Yield Prediction Using ML: A Comparative Study. DOI: 10.1016/j.jdst.2021.11.005
Ferreira & Souza (2020). ANN for Milk Yield Prediction. DOI: 10.1186/s40104-020-0410-6
Herrero-Lopez et al. (2023). IoT + ML for Real-Time Milk Yield. DOI: 10.3390/s23052481
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