Soil Water Status Monitoring System with Proximal Low-Cost Sensors and LoRa Technology for Smart Water Irrigation in Woody Crops
Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platf...
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| Vydáno v: | Sensors (Basel, Switzerland) Ročník 24; číslo 24; s. 8104 |
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01.12.2024
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| Abstract | Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platforms and technologies. For irrigation management in an experimental vineyard located in Quiroga (Lugo, Spain), we faced the challenge of installing a low-cost environmental and soil parameter monitoring station composed of several nodes measuring air temperature and relative humidity, soil temperature, soil matric potential, and soil water content. Commercial solutions were either too expensive or did not meet our needs. This challenge led us to design the low-cost sensor system that fulfilled our requirements. This node is based on the ESP32 chip, and communication between the nodes and the gateway is carried out by LoRa technology. The gateway is also based on the ESP32 chip. The gateway uploads the data to an FTP server using a Wi-Fi connection with a 4G router while simultaneously storing the data on a memory card. The programming of the code for the nodes and the gateway is performed using the Arduino IDE. The equipment developed is proven to be effective and for managing vineyard irrigation based on the built-in sensors, with replicable results. It is, however, essential to calibrate the capacitive sensors for measuring soil water content in each soil type in order to enhance their ability to produce reliable results. In addition, the limits marking the beginning and end of irrigation tasks must be adjusted to local conditions and according to the producer’s specific vineyard objectives. |
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| AbstractList | Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platforms and technologies. For irrigation management in an experimental vineyard located in Quiroga (Lugo, Spain), we faced the challenge of installing a low-cost environmental and soil parameter monitoring station composed of several nodes measuring air temperature and relative humidity, soil temperature, soil matric potential, and soil water content. Commercial solutions were either too expensive or did not meet our needs. This challenge led us to design the low-cost sensor system that fulfilled our requirements. This node is based on the ESP32 chip, and communication between the nodes and the gateway is carried out by LoRa technology. The gateway is also based on the ESP32 chip. The gateway uploads the data to an FTP server using a Wi-Fi connection with a 4G router while simultaneously storing the data on a memory card. The programming of the code for the nodes and the gateway is performed using the Arduino IDE. The equipment developed is proven to be effective and for managing vineyard irrigation based on the built-in sensors, with replicable results. It is, however, essential to calibrate the capacitive sensors for measuring soil water content in each soil type in order to enhance their ability to produce reliable results. In addition, the limits marking the beginning and end of irrigation tasks must be adjusted to local conditions and according to the producer's specific vineyard objectives. Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platforms and technologies. For irrigation management in an experimental vineyard located in Quiroga (Lugo, Spain), we faced the challenge of installing a low-cost environmental and soil parameter monitoring station composed of several nodes measuring air temperature and relative humidity, soil temperature, soil matric potential, and soil water content. Commercial solutions were either too expensive or did not meet our needs. This challenge led us to design the low-cost sensor system that fulfilled our requirements. This node is based on the ESP32 chip, and communication between the nodes and the gateway is carried out by LoRa technology. The gateway is also based on the ESP32 chip. The gateway uploads the data to an FTP server using a Wi-Fi connection with a 4G router while simultaneously storing the data on a memory card. The programming of the code for the nodes and the gateway is performed using the Arduino IDE. The equipment developed is proven to be effective and for managing vineyard irrigation based on the built-in sensors, with replicable results. It is, however, essential to calibrate the capacitive sensors for measuring soil water content in each soil type in order to enhance their ability to produce reliable results. In addition, the limits marking the beginning and end of irrigation tasks must be adjusted to local conditions and according to the producer's specific vineyard objectives.Weather and soil water dictate farm operations such as irrigation scheduling. Low-cost and open-source agricultural monitoring stations are an emerging alternative to commercially available monitoring stations because they are often built from components using open-source, do-it-yourself (DIY) platforms and technologies. For irrigation management in an experimental vineyard located in Quiroga (Lugo, Spain), we faced the challenge of installing a low-cost environmental and soil parameter monitoring station composed of several nodes measuring air temperature and relative humidity, soil temperature, soil matric potential, and soil water content. Commercial solutions were either too expensive or did not meet our needs. This challenge led us to design the low-cost sensor system that fulfilled our requirements. This node is based on the ESP32 chip, and communication between the nodes and the gateway is carried out by LoRa technology. The gateway is also based on the ESP32 chip. The gateway uploads the data to an FTP server using a Wi-Fi connection with a 4G router while simultaneously storing the data on a memory card. The programming of the code for the nodes and the gateway is performed using the Arduino IDE. The equipment developed is proven to be effective and for managing vineyard irrigation based on the built-in sensors, with replicable results. It is, however, essential to calibrate the capacitive sensors for measuring soil water content in each soil type in order to enhance their ability to produce reliable results. In addition, the limits marking the beginning and end of irrigation tasks must be adjusted to local conditions and according to the producer's specific vineyard objectives. |
| Audience | Academic |
| Author | Dafonte, Jorge Cancela, Javier J. González, Miguel Ángel Comesaña, Enrique Teijeiro, María Teresa |
| Author_xml | – sequence: 1 givenname: Jorge orcidid: 0000-0003-4305-1521 surname: Dafonte fullname: Dafonte, Jorge – sequence: 2 givenname: Miguel Ángel orcidid: 0000-0003-2999-8962 surname: González fullname: González, Miguel Ángel – sequence: 3 givenname: Enrique orcidid: 0000-0001-8422-5394 surname: Comesaña fullname: Comesaña, Enrique – sequence: 4 givenname: María Teresa orcidid: 0000-0001-6179-3348 surname: Teijeiro fullname: Teijeiro, María Teresa – sequence: 5 givenname: Javier J. orcidid: 0000-0003-2089-7778 surname: Cancela fullname: Cancela, Javier J. |
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| References_xml | – volume: 7 start-page: 129551 year: 2019 ident: ref_1 article-title: Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2932609 – ident: ref_11 doi: 10.3390/s19102318 – volume: 28 start-page: 100309 year: 2020 ident: ref_14 article-title: Development of an Open Sensorized Platform in a Smart Agriculture Context: A Vineyard Support System for Monitoring Mildew Disease publication-title: Sustain. Comput. Inform. Syst. – volume: 162 start-page: 882 year: 2019 ident: ref_6 article-title: mySense: A Comprehensive Data Management Environment to Improve Precision Agriculture Practices publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2019.05.028 – ident: ref_20 doi: 10.3390/s20123585 – ident: ref_26 doi: 10.5194/egusphere-egu23-5461 – volume: 16 start-page: 574 year: 1980 ident: ref_25 article-title: Electromagnetic Determination of Soil Water Content: Measurements in Coaxial Transmission Lines publication-title: Water Resour. Res. doi: 10.1029/WR016i003p00574 – volume: 101 start-page: 463 year: 2008 ident: ref_24 article-title: Design and Air–Water Calibration of a Waveguide Connector for TDR Measurements of Soil Electric Permittivity in Stony Soils publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2008.09.015 – ident: ref_2 doi: 10.1109/MMS.2015.7375469 – ident: ref_9 doi: 10.3390/s20236865 – ident: ref_23 doi: 10.5194/egusphere-egu2020-19015 – volume: 10 start-page: 3664 year: 2023 ident: ref_4 article-title: A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2022.3230505 – ident: ref_22 doi: 10.2139/ssrn.4435289 – volume: 12 start-page: 181052 year: 2024 ident: ref_17 article-title: Smart Agricultural System Using Proximal Sensing, Artificial Intelligence and LoRa Technology: A Case Study in Vineyard Management publication-title: IEEE Access doi: 10.1109/ACCESS.2024.3482179 – ident: ref_8 – volume: 36 start-page: 437 year: 2020 ident: ref_16 article-title: Within-Field Variability in Granular Matrix Sensor Data and Its Implications for Irrigation Scheduling publication-title: Appl. Eng. Agric. doi: 10.13031/aea.13918 – ident: ref_10 doi: 10.3390/agronomy10091365 – volume: 7 start-page: 100124 year: 2022 ident: ref_12 article-title: An Overview of Smart Irrigation Systems Using IoT publication-title: Energy Nexus doi: 10.1016/j.nexus.2022.100124 – volume: 1409 start-page: 135 year: 2024 ident: ref_28 article-title: IrriDesk: An Automatic Irrigation Decision Support System Which Integrates Crop Modelling with Sensors and Remote Sensing Data publication-title: Acta Hortic. doi: 10.17660/ActaHortic.2024.1409.19 – ident: ref_7 doi: 10.3390/su11030782 – volume: 41 start-page: 521 year: 2023 ident: ref_18 article-title: Effect of Multifunctional Irrigation on Grape Quality: A Case Study in Northern Italy publication-title: Irrig. Sci. doi: 10.1007/s00271-022-00837-4 – volume: 52 start-page: 102307 year: 2022 ident: ref_13 article-title: Water Optimization Technique for Precision Irrigation System Using IoT and Machine Learning publication-title: Sustain. Energy Technol. Assess. – volume: 8 start-page: 718 year: 2021 ident: ref_5 article-title: Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies publication-title: IEEE/CAA J. Autom. Sin. doi: 10.1109/JAS.2021.1003925 – ident: ref_19 – volume: 5 start-page: 21 year: 2018 ident: ref_27 article-title: Scientific Development of Smart Farming Technologies and Their Application in Brazil publication-title: Inf. Process. Agric. – volume: 8 start-page: 603 year: 1992 ident: ref_21 article-title: Operational Characteristics of the Watermark Model 200 Soil Water Potential Sensor for Irrigation Management publication-title: Appl. Eng. Agric. doi: 10.13031/2013.26131 – ident: ref_15 doi: 10.1109/ICSSAS57918.2023.10331699 – volume: 6 start-page: 10 year: 2022 ident: ref_3 article-title: Review of Agricultural IoT Technology publication-title: Artif. Intell. Agric. |
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| SubjectTerms | Agricultural industry Agricultural production agricultural water management Agriculture Arduino IDE Communication Data encryption Data transmission Economic aspects Efficiency Energy consumption Environmental conditions ESP32 Humidity Internet of Things Irrigation LoRa Radio frequency Sensors smart agriculture Soil moisture Spread spectrum Technology Vineyards Water Wineries & vineyards |
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| Title | Soil Water Status Monitoring System with Proximal Low-Cost Sensors and LoRa Technology for Smart Water Irrigation in Woody Crops |
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