This study presents a flexible loT monitoring system suitable for gas sensing, applicable to the pervasive experimental assessments of C02 concentrations, particularly in relation to plant respiration and chlorophyll photosynthesis. Beyond C02 measurement, the system incorporates the monitoring of other parameters, among which those meaningful for chlorophyll photosynthesis, including light intensity and water vapor concentration. The system architecture, composed of flexible sensing nodes, builds upon a pre-existing model, enhancing its functionalities. Each sensor node integrates an MCU and hosts front-end electronics for six analog gas sensors utilizing various technologies. Preliminary tests embedded an electrochemical N02 sensor, an NDIR C02 sensor, and a BME280 sensor for measuring temperature, humidity, and pressure. To ensure accuracy, individual sensor calibration and a temperature-compensation procedure are applied on the edge. This monitoring system establishes a solid foundation for versatile applications, providing a valuable tool for research in the 'smart' agriculture field.

Cappelli, I., Parri, L., Tani, M., Mugnaini, M., Vignoli, V., Fort, A. (2024). Pervasive IoT Monitoring of CO2 for Smart Agriculture. In 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/SAS60918.2024.10636364].

Pervasive IoT Monitoring of CO2 for Smart Agriculture

Cappelli I.;Parri L.;Mugnaini M.;Vignoli V.;Fort A.
2024-01-01

Abstract

This study presents a flexible loT monitoring system suitable for gas sensing, applicable to the pervasive experimental assessments of C02 concentrations, particularly in relation to plant respiration and chlorophyll photosynthesis. Beyond C02 measurement, the system incorporates the monitoring of other parameters, among which those meaningful for chlorophyll photosynthesis, including light intensity and water vapor concentration. The system architecture, composed of flexible sensing nodes, builds upon a pre-existing model, enhancing its functionalities. Each sensor node integrates an MCU and hosts front-end electronics for six analog gas sensors utilizing various technologies. Preliminary tests embedded an electrochemical N02 sensor, an NDIR C02 sensor, and a BME280 sensor for measuring temperature, humidity, and pressure. To ensure accuracy, individual sensor calibration and a temperature-compensation procedure are applied on the edge. This monitoring system establishes a solid foundation for versatile applications, providing a valuable tool for research in the 'smart' agriculture field.
2024
Cappelli, I., Parri, L., Tani, M., Mugnaini, M., Vignoli, V., Fort, A. (2024). Pervasive IoT Monitoring of CO2 for Smart Agriculture. In 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/SAS60918.2024.10636364].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1271795
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