Abstract:
This Final year report documents an IOT based detection model design developed to detect
the parameters that describe contaminated food within a certain period of time under storage.
Existing systems such as RFID technology, packaging, Laboratory tests and analysis were
deployed previously to tackled the problem of contamination but each had shortcomings. The
developed system aims to bridge the gaps of those existing systems. The model design is
made up of a microcontroller and different sensor modules to achieve this requirement. The
different sensors collect data from the stored food and surrounding, processed by the
microcontroller and sent to an IOT platform via a WIFI module. Parameters such as gas
emissions, temperature, humidity, color and moisture are monitored to set threshold values,
where an alarm is triggered when the sensor reading surpass the set threshold value
