Welcome to JJEM: A Multi-Disicplinary Journal of JNNCE, Shimoga |
Anil Kumar J, Varun Kumar M V
The milk is the dietary fluid secreted by the mammary gland of mammals. The high quality milk should have better density and is free from the adulterants. Milk is most commercially sold commodity both by local vendor’s as well super markets. However in local areas to increase the yield certain adulterants are added which may affect the nutritional quality of milk. Milk adulteration is a social problem. It exists both in the backward and advanced countries. Consumption of adulterated milk causes serious health problems and a great concern to the food industry. The Country milk producers and consumers facing problem to find the quality of milk, accept the fair of price and consumption. So it is necessary to ensure the quality of milk by measuring type and amount of adulterants that are added to the milk. This is performed by using combined electronic sensory instrumental system such as Temperature sensor (DS18B20), LDR Module. Complex data sets from these sensor signals are combined with multivariate statics represents rapid and efficient tools for classification, discrimination, recognition and identification of adulterants as well as the concentration of different compound leads to analyze and ensure the quality of milk. This project is implemented using Raspberry PI Microprocessor. All the sensors are combined to form compact and flexible system which analyze and classify the quality of milk into different grades and finally output displayed on LCD screen and data of the sensors will be sent to the cloud and stored .From the cloud it will be sent to the farmers mobile number that temperature, quantity of milk, cost of the milk based on fat and quantity.
Raspberry pi, FAT,Temperature, Python