Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network
Temperature measurement is critical in many areas of research, particularly in agriculture, where it can have a significant impact on crop health and yield. Experiments such as seed germination often require numerous temperature sensors to collect extensive data. Typically, data loggers are used to...
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| Language: | English |
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Elsevier
2024-12-01
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| Series: | HardwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468067224000762 |
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| author | Gustavo N. Santiago Ignacio Ciampitti |
| author_facet | Gustavo N. Santiago Ignacio Ciampitti |
| author_sort | Gustavo N. Santiago |
| collection | DOAJ |
| description | Temperature measurement is critical in many areas of research, particularly in agriculture, where it can have a significant impact on crop health and yield. Experiments such as seed germination often require numerous temperature sensors to collect extensive data. Typically, data loggers are used to store information, but market options are expensive and offer limited, non-customizable inputs (channels), creating challenges for comprehensive soil temperature monitoring. This study aims to develop a network of open-source, low-cost data loggers with multiple customizable channels for local and remote temperature data storage. The hardware includes Arduino, temperature sensors, a Real Time Clock, and a LoRa module to transmit data to a LILYGO TTGO board, which sends it to a remote MongoDB database while also storing it locally on a microSD card. In addition, a digital tool was developed to retrieve and display both current and historical readings from the MongoDB database. The total cost of this hardware is approximately US$ 72 (based on current prices) for the simplest network, which is approximately 18 % of the commercial cost. The system achieved a root mean square error (RMSE) of 1.6 °C compared to a manual sampling probe thermometer, proving it to be a reliable measurement source. The hardware developed in this study surpasses commercial options by allowing the integration of multiple sensors and emitters, creating a network of data loggers at a lower cost. In addition to the hardware, an open-source digital tool was developed to visualize historical data at no additional cost. |
| format | Article |
| id | doaj-art-c2d7c2e3bb154da0b6547c78a68ad75b |
| institution | Kabale University |
| issn | 2468-0672 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | HardwareX |
| spelling | doaj-art-c2d7c2e3bb154da0b6547c78a68ad75b2024-12-16T05:36:37ZengElsevierHardwareX2468-06722024-12-0120e00582Multiple channels, low-cost, and dual data storage data logger for building a soil temperature networkGustavo N. Santiago0Ignacio Ciampitti1Kansas State University, Department of Agronomy, Manhattan, KS, USA; Corresponding author.Kansas State University, Department of Agronomy, Manhattan, KS, USA; Kansas State University, Institute for Digital Agriculture and Advanced Analytics, Manhattan, KS, USATemperature measurement is critical in many areas of research, particularly in agriculture, where it can have a significant impact on crop health and yield. Experiments such as seed germination often require numerous temperature sensors to collect extensive data. Typically, data loggers are used to store information, but market options are expensive and offer limited, non-customizable inputs (channels), creating challenges for comprehensive soil temperature monitoring. This study aims to develop a network of open-source, low-cost data loggers with multiple customizable channels for local and remote temperature data storage. The hardware includes Arduino, temperature sensors, a Real Time Clock, and a LoRa module to transmit data to a LILYGO TTGO board, which sends it to a remote MongoDB database while also storing it locally on a microSD card. In addition, a digital tool was developed to retrieve and display both current and historical readings from the MongoDB database. The total cost of this hardware is approximately US$ 72 (based on current prices) for the simplest network, which is approximately 18 % of the commercial cost. The system achieved a root mean square error (RMSE) of 1.6 °C compared to a manual sampling probe thermometer, proving it to be a reliable measurement source. The hardware developed in this study surpasses commercial options by allowing the integration of multiple sensors and emitters, creating a network of data loggers at a lower cost. In addition to the hardware, an open-source digital tool was developed to visualize historical data at no additional cost.http://www.sciencedirect.com/science/article/pii/S2468067224000762Temperature sensorData loggingModularRemote storage |
| spellingShingle | Gustavo N. Santiago Ignacio Ciampitti Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network HardwareX Temperature sensor Data logging Modular Remote storage |
| title | Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network |
| title_full | Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network |
| title_fullStr | Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network |
| title_full_unstemmed | Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network |
| title_short | Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network |
| title_sort | multiple channels low cost and dual data storage data logger for building a soil temperature network |
| topic | Temperature sensor Data logging Modular Remote storage |
| url | http://www.sciencedirect.com/science/article/pii/S2468067224000762 |
| work_keys_str_mv | AT gustavonsantiago multiplechannelslowcostanddualdatastoragedataloggerforbuildingasoiltemperaturenetwork AT ignaciociampitti multiplechannelslowcostanddualdatastoragedataloggerforbuildingasoiltemperaturenetwork |