Aditya Anil Pangavhane,
Akash Babasaheb Shinde,
Prasad Dinesh Sanap,
Akshay Abhay Petkar,
- Student, Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule University Pune, Maharashtra, India
- Student, Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule University Pune, Maharashtra, India
- Student, Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule University Pune, Maharashtra, India
- Student, Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule University Pune, Maharashtra, India
Abstract
The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk records, processing payments, adjusting rates, and providing thorough financial reporting. The system enables both long-term planning and real-time decision-making by utilizing data-driven insights and predictive analytics. The system offers features including demand forecasting, anomaly detection in milk quality and payment records, analysis of cattle health patterns, and dynamic price suggestions based on quality and seasonal parameters by integrating powerful machine learning techniques. To train models on a dataset collected from past dairy farm transactions, sensor-based milk quality parameters (such as fat content, temperature, and density), and financial records, a supervised learning approach was used. This method optimized decision-making skills and greatly increased forecasting accuracy. Machine learning may transform conventional dairy farm operations by offering automated, intelligent, and scalable solutions, as demonstrated by the proposed AI-Driven Dairy Ledger. It updates daily management procedures by providing stakeholders with performance data, real-time dashboards, and actionable insights. In the end, this invention opens the door to higher output, more profitable dairy ecosystems, and sustainable resource usage.
Keywords: Machine learning, dairy management, predictive analytics, AI automation, smart farming, financial optimization
[This article belongs to Trends in Machine design ]
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Trends in Machine design
| Volume | 13 | |
| Issue | 02 | |
| Received | 13/01/2026 | |
| Accepted | 12/02/2026 | |
| Published | 12/06/2026 | |
| Publication Time | 150 Days |