Major Australian dairy products manufacturer Bega Cheese is collaborating with researchers at Swinburne University of Technology and Germany’s Software AG to develop a new IoT-based service, to be known as the Dynamic Pick Scheduling and Monitoring tool.
The project team, based at Swinburne’s Internet of Things Laboratory in Melbourne, Victoria, is developing a new, low-cost milk-quality sensor that monitors for milk supply change events. Combined with outputs from existing weather and transport-based IoT devices and long-term historical data, it will be used to train a machine learning-based forecasting tool that can predict milk quality and quantity in real time, using this information to optimise milk pick-up times and routes.
The service, to be housed on Software AG’s Cumulocity IoT platform, will link Bega’s supplier farms, milk transporters, and storage and processing facilities, providing valuable real-time data about on-farm milk production including volumes, temperature, quality composition, and transport conditions. The data will help to ensure Bega’s trucks deliver milk to its processing plants efficiently and at optimal freshness and quality.
According to Software AG, the system will enable better planning and resource management, cutting transport and distribution costs, ensuring quality and providing end-to-end traceability.
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