Handheld Mastitis Detector

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.