Sample-efficient machine learning for dairy pathogen detection and origin traceability under multivariable conditions using gold nanoparticle colorimetry.
Storage temperature, humidity, and time jointly influence pathogen growth in dairy products, yet most rapid detection methods are validated under single-variable conditions that do not represent real supply chain scenarios. Testing across these combined conditions sharply increases the number of samples needed, whereas...