The Milk Adulteration Detection System (MADS) is an innovative IoT and machine learning-based solution for real-time milk quality assessment, achieving 95% accuracy in detecting adulterants such as ...
This project uses an ESP32 microcontroller to read environmental data from DHT11 (temperature and humidity) and MQ135 (air quality) sensors. The collected data is then transmitted over Wi-Fi and ...
Abstract: Maintaining water quality is essential for many industrial activities, environmental health, and human well-being. Effective and ongoing monitoring has become vital due to the rise in water ...
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