A PI FRAMEWORK FOR REAL TIME DETECTION OF MILK ADULTERATION
AbstractThis paper presents a framework which uses pH values and impedance measurement values to detect milk adulteration in real time. The samples were analysed using an impedance meter and pH sensor controlled using a microcontroller system programmed for this application. Training sets were obtained from known milk samples. This data set was then used to train a Support Vector Machine algorithm that characterizes samples of raw milk adulterated with different proportionsÂ Â Â of drinking water, deionised water, formaldehyde(CH2O), hydrogen peroxide(H2O2) and sodium hydroxide(NaOH).This allowed classifying the test sample qualitatively, enabling the fraud detection in the test sample composition.
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