Improved Production Mechanism for Dairy Plant Management Using Aggregated Rule Mining


  • V. Manochitra, A. Shaik Abdul Khadir


Aggregated rule mining, Dairy farm, Data Mining, Farm Plant


The proposed method for supervising and proper management of milk processing processes to reduce utilization of water and energy. The primary process of this model is to measure and improve the pitfalls of the automated dairy plant that process the cow milk day-to-day activity values is monitored and processed using this proposed Improved Aggregated Rule Mining technique. The existing system updated by integrating proposed monitor system to the improved Automated Rule Mining system already deploy in the production process. So the system able to calculate the energy consumptions not directly computed from the available sensors. The efficiency of proposed system is high compared to existing system results. The records are used to improvising a monitoring system to reducing the water/energy consumption. This paper results shown the improved considerable water and energy in several milk processing processes by the introduction of new processing and management technologies by applying this proposed technique. The measurement of proposed approach was based on the comparison with the existing benchmark readings such as water consumption, milk wastage and human efforts.


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How to Cite

V. Manochitra. (2024). Improved Production Mechanism for Dairy Plant Management Using Aggregated Rule Mining. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 2328–2332. Retrieved from



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