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This paper details the conception of an electronic nose tailored for the precise detection of Volatile Organic Compounds (VOCs) emitted by cannabis and tobacco. Leveraging the Grove—Gas Sensor V2, equipped with four chemically sensitive sensors, our device offers accurate detection capabilities. Through rigorous experimentation, we have demonstrated its efficacy in identifying VOCs from cannabis resins and tobacco with exceptional accuracy and reliability. Employing advanced machine learning algorithms, we’ve developed an odor recognition model to interpret sensor data effectively. Notably, our focus on performance optimization includes integrating stabilization techniques to minimize external factor-induced variations, enhancing detection accuracy and reproducibility. This innovation represents a significant step forward in VOC characterization technology, promising diverse applications across industrial and healthcare sectors.

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Cannabis Revolutionizing VOC Detection: Advanced Sensors and Machine Learning Innovations

  • 会议论文

  • 发表日期：

    2025年

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  • Yassine Ayat,
  • Ali El Moussati,
  • Abdelaziz El Aouni,
  • Ismail Mir

摘要

This paper details the conception of an electronic nose tailored for the precise detection of Volatile Organic Compounds (VOCs) emitted by cannabis and tobacco. Leveraging the Grove—Gas Sensor V2, equipped with four chemically sensitive sensors, our device offers accurate detection capabilities. Through rigorous experimentation, we have demonstrated its efficacy in identifying VOCs from cannabis resins and tobacco with exceptional accuracy and reliability. Employing advanced machine learning algorithms, we’ve developed an odor recognition model to interpret sensor data effectively. Notably, our focus on performance optimization includes integrating stabilization techniques to minimize external factor-induced variations, enhancing detection accuracy and reproducibility. This innovation represents a significant step forward in VOC characterization technology, promising diverse applications across industrial and healthcare sectors.