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Solar Powered in situ Sensor Network for Remote Soil Health Monitoring.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Solar Powered in situ Sensor Network for Remote Soil Health Monitoring./
作者:
Wells, Zachary.
面頁冊數:
1 online resource (97 pages)
附註:
Source: Masters Abstracts International, Volume: 83-11.
Contained By:
Masters Abstracts International83-11.
標題:
Computer engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29065361click for full text (PQDT)
ISBN:
9798426827998
Solar Powered in situ Sensor Network for Remote Soil Health Monitoring.
Wells, Zachary.
Solar Powered in situ Sensor Network for Remote Soil Health Monitoring.
- 1 online resource (97 pages)
Source: Masters Abstracts International, Volume: 83-11.
Thesis (M.S.)--Middle Tennessee State University, 2022.
Includes bibliographical references
This thesis presents the design, development, and testing of a fleet of long-range wireless, solar powered sensors for the study of soil conditions throughout a given geographical location for the measurement of important metrics that affect overall soil fertility. Farmers require active monitoring for informed maintenance on their fields to maintain optimal crop growth. Having practical, real-time data to analyze assists in determining tasks that need to be completed for an optimal crop yield. The common practice is sending soil samples off to a lab for chemical analysis. Therefore, no known system has been developed to remotely measure soil-gas, soil moisture, and other environmental variables in situ through the use of an IoT sensor network across a large farm. This thesis discusses the implementation of a real-time and historical soil health monitoring system that is used for the measurement of temperature, humidity, soil moisture, volatile organic compounds, carbon monoxide, carbon dioxide, methane, ammonia, nitrogen dioxide, hydrogen, ethanol, atmospheric pressure, and sunlight. The network functions on a gateway-bridge architecture, whereas the gateway connects to the database server via the internet using a cellular modem, and subsequent bridge nodes send telemetry to the gateway via LoRa radio protocol. This system directly communicates to the ThingsBoard open source software via the MQTT messaging protocol for the uploading of data to the SQL database, resulting in the ability to query and plot telemetry values.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798426827998Subjects--Topical Terms:
621879
Computer engineering.
Subjects--Index Terms:
Remote soil health monitoringIndex Terms--Genre/Form:
542853
Electronic books.
Solar Powered in situ Sensor Network for Remote Soil Health Monitoring.
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Includes bibliographical references
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This thesis presents the design, development, and testing of a fleet of long-range wireless, solar powered sensors for the study of soil conditions throughout a given geographical location for the measurement of important metrics that affect overall soil fertility. Farmers require active monitoring for informed maintenance on their fields to maintain optimal crop growth. Having practical, real-time data to analyze assists in determining tasks that need to be completed for an optimal crop yield. The common practice is sending soil samples off to a lab for chemical analysis. Therefore, no known system has been developed to remotely measure soil-gas, soil moisture, and other environmental variables in situ through the use of an IoT sensor network across a large farm. This thesis discusses the implementation of a real-time and historical soil health monitoring system that is used for the measurement of temperature, humidity, soil moisture, volatile organic compounds, carbon monoxide, carbon dioxide, methane, ammonia, nitrogen dioxide, hydrogen, ethanol, atmospheric pressure, and sunlight. The network functions on a gateway-bridge architecture, whereas the gateway connects to the database server via the internet using a cellular modem, and subsequent bridge nodes send telemetry to the gateway via LoRa radio protocol. This system directly communicates to the ThingsBoard open source software via the MQTT messaging protocol for the uploading of data to the SQL database, resulting in the ability to query and plot telemetry values.
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