AUTHOR(S)
Stanimir Yordanov*, Stefan Ivanov,Georgi Mihalev, Todor Todorov, Hristina Stoycheva

ABSTRACT
This study presents an integrated IoT sensor system of the electronic nose type, based on the ESP32 microcontroller and the SIM800L GSM module, designed for detecting food product adulteration, such as the mixing of olive oil with sunflower oil. The conducted experiments show that wireless GSM communication does not significantly affect the accuracy and consistency of the measurements. The proposed system demonstrates substantial potential for practical deployment in the food industry due to its autonomy, low cost, and high reliability. Future research
will focus on optimizing energy consumption and integrating machine learning algorithms directly into the microcontroller.

DOI

DOWNLOAD
https://unitech.tugab.bg/images/2025/dokladi/5-Automation%20and%20Robotics/p204_s5_u205_id379.pdf

How to cite this article:
Stanimir Yordanov*, Stefan Ivanov,Georgi Mihalev, Todor Todorov, Hristina Stoycheva, IOT MULTIFUNCTIONAL SENSOR SYSTEM, UNITECH – SELECTED PAPERS - 2025