Smart Cattle Shed Monitoring System in LoRa Network

Lee, Meonghun; Kim, Haeng Kon; Yoe, Hyun

doi:10.1007/978-3-030-64773-5_12

Cited by 1 publication

(1 citation statement)

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“…The measurement of CO 2 using WSN has almost solely been for air quality monitoring [13,15,23,39], with some agriculture-based applications, including smart cattle sheds [40]. However, work on the direct measurement of soil-specific CO 2 with a WSN is much more limited.…”

Section: Introductionmentioning

confidence: 99%

Integrated Probe System for Measuring Soil Carbon Dioxide Concentrations

Hassan

Mushinski

Amede

et al. 2023

Sensors

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This article outlines the design and implementation of an internet-of-things (IoT) platform for the monitoring of soil carbon dioxide (CO2) concentrations. As atmospheric CO2 continues to rise, accurate accounting of major carbon sources, such as soil, is essential to inform land management and government policy. Thus, a batch of IoT-connected CO2 sensor probes were developed for soil measurement. These sensors were designed to capture spatial distribution of CO2 concentrations across a site and communicate to a central gateway using LoRa. CO2 concentration and other environmental parameters, including temperature, humidity and volatile organic compound concentration, were logged locally and communicated to the user through a mobile (GSM) connection to a hosted website. Following three field deployments in summer and autumn, we observed clear depth and diurnal variation of soil CO2 concentration within woodland systems. We determined that the unit had the capacity to log data continuously for a maximum of 14 days. These low-cost systems have great potential for better accounting of soil CO2 sources over temporal and spatial gradients and possibly flux estimations. Future testing will focus on divergent landscapes and soil conditions.

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