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Chiang Rai province in northern Thailand is now known for its unique and distinct Arabica coffee aroma, thanks to the region's highland climate and topography. To add value and promote this aroma, a team of researchers developed an AI electronic noses system that detects and maps the coffee aroma from different areas of Chiang Rai. The system uses several gas sensor detectors that can detect gas in the range of 10-1000 ppm, covering 10 different gases from coffee beans. Detectors are connected to an Arduino ESP32 processor board and controlled by a Python program. The system responds to the sensor for measuring the coffee aroma and transmits data via the internet WIFI in the form of IOT protocol. It then sends data to store on a cloud web service and displays real-time coffee aroma maps on an online website. These maps can provide valuable insights into the distinct aroma of coffee beans grown in different areas of Chiang Rai. Moreover, the data collected can be used to develop AI electronic noses that can identify the unique aroma of coffee beans grown in the area. This will further enhance the collection of coffee aroma maps and add value to the coffee beans produced in Chiang Rai. The aroma maps can also help in the branding and marketing of the coffee beans, making it more recognizable and appealing to consumers worldwide.
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