Publications by authors named "Leonardo Papale"
Article Synopsis
- Indoor spaces with low air exchange can become contaminated by harmful volatile compounds, highlighting the need for effective monitoring.
- A new system using Machine Learning processes data from a low-cost wearable VOC sensor within a Wireless Sensor Network (WSN), which includes fixed anchor nodes for mobile device localization.
- Testing in a 120 m indoor area showed over 99% localization accuracy, enabling the mapping of ethanol distribution and confirming the sensor's effectiveness in detecting and locating VOC sources.
The appraisal of stress in plants is of great relevance in agriculture and any time the transport of living plants is involved. Wireless sensor networks (WSNs) are an optimal solution to simultaneously monitor a large number of plants in a mostly automatic way. A number of sensors are readily available to monitor indicators that are likely related to stress.
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