Lure Monitoring for Mediterranean Fruit Fly Traps Using Air Quality Sensors

利用空气质量传感器监测地中海果蝇诱捕器的诱饵情况

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Abstract

Effective pest population monitoring is crucial in precision agriculture, which integrates various technologies and data analysis techniques for enhanced decision-making. This study introduces a novel approach for monitoring lures in traps targeting the Mediterranean fruit fly, utilizing air quality sensors to detect total volatile organic compounds (TVOC) and equivalent carbon dioxide (eCO(2)). Our results indicate that air quality sensors, specifically the SGP30 and ENS160 models, can reliably detect the presence of lures, reducing the need for frequent physical trap inspections and associated maintenance costs. The ENS160 sensor demonstrated superior performance, with stable detection capabilities at a predefined distance from the lure, suggesting its potential for integration into smart trap designs. This is the first study to apply TVOC and eCO(2) sensors in this context, paving the way for more efficient and cost-effective pest monitoring solutions in smart agriculture environments.

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