Handheld Mastitis Detector

RGB LED for indicating health of milk

Complete working prototype with technology readiness level 6
Display of numeric values of electrical conductivity (EC) of milk drawn from each udder
Each compartment has an RGB LED to indicate the udder health.
Touch switch (water and splash proof) for performing basic operations
Auto calibration of conductivity sensor (2 point calibration)
Automatic identification of cow/buffalo using RFID tag
Wi-Fi/Bluetooth connectivity for storing data in cloud/centralized server
Battery powered and can be charged with a mobile charger
Currently working on the machine learning models that takes into account EC, lactation cycle, lactation number, milk yield, stage of lactation, breed for mastitis prediction.
Currently working on developing a mobile app for dairy workers to monitor the health of their cows/buffaloes.