一个廉价的AI驱动的物联网传感器,用于持续地从农场到工厂监测牛奶质量.
Kaneez Fizza1, Abhik Banerjee1, Dimitrios Georgakopoulos1
1Department of Computing Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
这项研究介绍了一种负担得起的AI驱动的物联网传感器,用于持续实时监测原牛奶中的蛋白质和脂肪含量. 这项创新提高了牛奶质量控制和供应链效率.
科学领域:
- 农业工程 农业工程
- 传感器技术 传感器技术
- 人工智能的人工智能
背景情况:
- 根据蛋白质和脂肪含量决定的生牛奶质量对于市场价值和供应商支付至关重要.
- 目前的牛奶质量评估依赖于昂贵的专用实验室设备和不频繁的测试.
- 持续监测对于优化牛奶供应链和尽量减少浪费至关重要.
研究的目的:
- 介绍一个廉价的,人工智能驱动的物联网 (IoT) 传感器,用于持续测量生牛奶中的蛋白质和脂肪.
- 从农场到仓库,直接在牛奶供应链中实现实时质量监测.
- 为传统的基于实验室的牛奶分析提供一个具有成本效益的替代方案.
主要方法:
- 开发一个含有低成本光谱仪和微控制器的坦克内物联网设备.
- 设备与用于数据分析的机器学习 (ML) 算法的集成.
- 在食品安全容器中部署,以便直接集成到牛奶和运输车辆中.
主要成果:
- 拟议的传感器可以准确地实时测量牛奶脂肪和蛋白质含量.
- 实验评估表明,传感器的精度为脂肪的±0.14%,蛋白质的±0.07%.
- 该系统可以在牛奶供应链中的各个点进行持续的质量监测.
结论:
- 开发的AI驱动的物联网传感器为持续的牛奶质量评估提供了实用且负担得起的解决方案.
- 这项技术有助于提高产品质量,加强供应链管理,减少牛奶变质.
- 传感器的设计允许在乳制品养殖场的坦克,运输车辆和储存仓库中广泛采用.
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