A versatile educational tool to detect adulterated honey with Arduino and Python-OpenCv
Detecting adulterated honey poses a significant global challenge, especially in rural areas where access to laboratory equipment is limited. The expense associated with laboratory tests further compounds the issue, rendering them unaffordable for many rural inhabitants. In response, this study aims to introduce two practical tools for detecting adulterated honey using a low-cost electronic device based on Arduino and Python-OpenCV. The primary objective is to make these tools accessible to honey producers, who bear the brunt of this problem. The innovation lies in the user-friendly methodology employed, designed to be easily replicated by individuals in rural areas with minimal expertise in electronics and programming. The study revealed evidence of honey adulteration, underscoring the urgency of such solutions. Importantly, both tools are ten times cheaper than commercial equipment typically used for honey analysis, promising a cost-effective approach to addressing this pressing issue.
Keywords: Rural regions, OpenCv, Python, Arduino.
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