Additional Funding Sources

This study was funded by Idaho EPSCoR and the National Science Foundation, award numbers OIA-1826801 and OIA-1757324 to JSF respectively and by Northwest Nazarene University (NNU). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NSF or NNU.

Abstract

Sagebrush volatile organic compound (VOC) emissions are of great interest to the scientific community. This project aims to develop a system for remote sensing of these VOC emissions for large-scale use. To do this a sensor tag was developed using an ESP32-based microcontroller called the TinyPICO along with a microSD card breakout board and BME680 temperature, humidity, pressure, and gas VOC Sensor. Future implementations have room for including a laser-induced graphene VOC transducer capable of reading the VOC emissions from the sagebrush. The TinyPICO comes with an onboard wireless antenna that allows for wireless communication using the ESP-NOW protocol. Using ESP-NOW a system was implemented that had remote sensors daisy chaining back to one central sensor tag that stored all data recorded amongst the sensors. Using this technique a large area can be remotely monitored without the need to check the other sensors along the chain.

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A Sensor Network for Monitoring Sagebrush

Sagebrush volatile organic compound (VOC) emissions are of great interest to the scientific community. This project aims to develop a system for remote sensing of these VOC emissions for large-scale use. To do this a sensor tag was developed using an ESP32-based microcontroller called the TinyPICO along with a microSD card breakout board and BME680 temperature, humidity, pressure, and gas VOC Sensor. Future implementations have room for including a laser-induced graphene VOC transducer capable of reading the VOC emissions from the sagebrush. The TinyPICO comes with an onboard wireless antenna that allows for wireless communication using the ESP-NOW protocol. Using ESP-NOW a system was implemented that had remote sensors daisy chaining back to one central sensor tag that stored all data recorded amongst the sensors. Using this technique a large area can be remotely monitored without the need to check the other sensors along the chain.

 

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