Performance of milk quality diagnostics using extra tree classifier techniques with progressive learning

The aim of the study was to aid in diagnosing milk quality rapidly and relatively reliably through provided numerical data. This endeavor aims to reduce the prevalence of low-quality milk trading, ultimately contributing to safer and higher quality milk management for consumers.