electronic nose; machine learning; sensors

Response data for ammonia and ethanol gases was collected using the electronic nose system.To meet the need for accurate, real-time, and stable monitoring of ammonia concentration in the breeding environment in livestock and poultry breeding areas, the electronic nose detection system solved the problems of poor real-time performance and low detection accuracy. An active pumping ammonia detection artificial olfactory system based on a bionic chamber is proposed. The sensing unit of the system consists of a bionic chamber and eight sensors.

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The e-nose device used in this study was constructed using a gas sensor array, LCD display, micro air pumps for inhalation and exhalation, a microcontroller, and a mini-PC. Gas samples from the sample chamber were periodically drawn into the device through a hose. Each sample underwent a 30-hour sampling process at room temperature (25°C). The sampling frequency was 15 times per hour, resulting in 60 records per sample.

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