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MILK ADULTERATION USING MACHINE LEARNING

Manjusha N. Namewar Assistant Professor

Sinhgad College of Engineering, Pune mnnamewar.scoe@sinhgad.edu

Avinashkumar Kadiyam1, Suyog Kalambey2, Shreyash Sahare3

1avinashkadiyam.scoe.entc@gmail.com 2suyogkalambey.scoe.entc@gmail.com 3shreyashsahare.scoe.entc@gmail.com

Abstract: In order to preserve the greatest quality, milk must pass through a milk supply chain that has an almost flawless cold chain. Transporters must make sure the milk that is collected from farms has been stored properly before the pickup event, that is, from the beginning of the production in the farm until the pickup event, in order to satisfy the continually growing demand from dairy processors for the provision of raw milk of the highest quality. We have suggested a model for the early identification of events in a milking cycle in order to solve this problem. We detect and recognize numerous events in a milking cycle as closely as possible to how they actually occur in the tank using online data from IoT sensors. This provides the transporter with a comprehensive, clear picture of the milk pH

Keywords: Cold Chain, Milking cycle, Sensors, IoT, pH .