An Inexpensive AI-Powered IoT Sensor for Continuous Farm-to-Factory Milk Quality Monitoring
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an affordable AI-powered IoT sensor for continuous, real-time monitoring of protein and fat content in raw milk. This innovation enhances milk quality control and supply chain efficiency.
Area Of Science
- Agricultural Engineering
- Sensor Technology
- Artificial Intelligence
Background
- Raw milk quality, determined by protein and fat content, is crucial for market value and supplier payments.
- Current milk quality assessment relies on expensive, specialized laboratory equipment and infrequent testing.
- Continuous monitoring is essential for optimizing the milk supply chain and minimizing waste.
Purpose Of The Study
- To present an inexpensive, AI-powered Internet of Things (IoT) sensor for continuous measurement of protein and fat in raw milk.
- To enable real-time quality monitoring directly within milk supply chains, from farms to depots.
- To offer a cost-effective alternative to traditional laboratory-based milk analysis.
Main Methods
- Development of an in-tank IoT device featuring a low-cost spectrometer and microcontroller.
- Integration of the device with a machine learning (ML) algorithm for data analysis.
- Deployment within a food-safe container for direct integration into milk tanks and transport vehicles.
Main Results
- The proposed sensor accurately measures milk fat and protein content in real-time.
- Experimental evaluation demonstrated sensor accuracy of ±0.14% for fat and ±0.07% for protein.
- The system enables continuous quality monitoring across various points in the milk supply chain.
Conclusions
- The developed AI-powered IoT sensor offers a practical and affordable solution for continuous milk quality assessment.
- This technology facilitates improved product quality, enhanced supply chain management, and reduced milk spoilage.
- The sensor's design allows for widespread adoption in dairy farm tanks, transport vehicles, and storage depots.
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