IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v183y2017icp86-93.html
   My bibliography  Save this article

Temperature compensation in a low cost frequency domain (capacitance based) soil moisture sensor

Author

Listed:
  • Oates, M.J.
  • Fernández-López, A.
  • Ferrández-Villena, M.
  • Ruiz-Canales, A.

Abstract

Frequency Domain Analysis is a well established technique in soil moisture determination, using the change in electrical capacitance of probes inserted into the soil caused by the presence of water. However it is known that temperature affects the determination of this capacitance. Here two different techniques are used, the first passing a fixed frequency through the soil via insulated probes, then measuring the amplitude of the resultant signal. The second uses the soil capacitance as the controlling component in a variable frequency oscillator, measuring the resultant times to charge and discharge. The measured capacitance is seen to be affected both by the temperature of the soil and, due to the sensitive nature of the monitoring electronics, also the temperature of critical components in the measurement circuits. Results from these experiments show that these two effects are complementary, soil temperature adding to the measured capacitance, whilst electronics temperature effectively decreases the measured capacitance. The daily profiles of the soil and electronics temperatures, whilst both rising during the day, and falling at night, show significant phase difference and therefore do not simply cancel out. Further, the strength of temperature compensation required is shown to vary with technique and moisture level. This paper explores these phenomena using results from a recently developed, four probe Frequency Domain capacitance based sensor costing around 12 Euros. These measurements are compared to those achieved by a commercial soil moisture system costing over 250 times this price. Preliminary results are presented from temperature compensation algorithms intended to minimize these effects.

Suggested Citation

  • Oates, M.J. & Fernández-López, A. & Ferrández-Villena, M. & Ruiz-Canales, A., 2017. "Temperature compensation in a low cost frequency domain (capacitance based) soil moisture sensor," Agricultural Water Management, Elsevier, vol. 183(C), pages 86-93.
  • Handle: RePEc:eee:agiwat:v:183:y:2017:i:c:p:86-93
    DOI: 10.1016/j.agwat.2016.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416304206
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2016.11.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Navarro-Hellín, H. & Torres-Sánchez, R. & Soto-Valles, F. & Albaladejo-Pérez, C. & López-Riquelme, J.A. & Domingo-Miguel, R., 2015. "A wireless sensors architecture for efficient irrigation water management," Agricultural Water Management, Elsevier, vol. 151(C), pages 64-74.
    2. Oates, M.J. & de León, A.L. Vázquez & Intrigliolo, D.S. & Martínez, J.M. Molina & Ruiz-Canales, A., 2015. "Evaluation of an experimental system of soil moisture registration for irrigation management in potted vineyard (Vitis vinifera L. CV Bobal) of multi-depth temperature compensation based in resistivit," Agricultural Water Management, Elsevier, vol. 151(C), pages 126-135.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wan, Heyang & Qi, Hongwei & Shang, Songhao, 2023. "Estimating soil water and salt contents from field measurements with time domain reflectometry using machine learning algorithms," Agricultural Water Management, Elsevier, vol. 285(C).
    2. Yair Andrey Rivas-Sánchez & María Fátima Moreno-Pérez & José Roldán-Cañas, 2019. "Environment Control with Low-Cost Microcontrollers and Microprocessors: Application for Green Walls," Sustainability, MDPI, vol. 11(3), pages 1-17, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. López-Riquelme, J.A. & Pavón-Pulido, N. & Navarro-Hellín, H. & Soto-Valles, F. & Torres-Sánchez, R., 2017. "A software architecture based on FIWARE cloud for Precision Agriculture," Agricultural Water Management, Elsevier, vol. 183(C), pages 123-135.
    2. Cáceres, Rafaela & Pol, Enric & Narváez, Lola & Puerta, Anna & Marfà, Oriol, 2017. "Web app for real-time monitoring of the performance of constructed wetlands treating horticultural leachates," Agricultural Water Management, Elsevier, vol. 183(C), pages 177-185.
    3. Achour, Yasmine & Ouammi, Ahmed & Zejli, Driss, 2021. "Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    4. M. Safdar Munir & Imran Sarwar Bajwa & M. Asif Naeem & Bushra Ramzan, 2018. "Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming," Energies, MDPI, vol. 11(12), pages 1-18, December.
    5. Oates, M.J. & Ramadan, K. & Molina-Martínez, J.M. & Ruiz-Canales, A., 2017. "Automatic fault detection in a low cost frequency domain (capacitance based) soil moisture sensor," Agricultural Water Management, Elsevier, vol. 183(C), pages 41-48.
    6. Garrigós, J. & Molina, J.M. & Alarcón, M. & Chazarra, J. & Ruiz-Canales, A. & Martínez, J.J., 2017. "Platform for the management of hydraulic chambers based on mobile devices and Bluetooth Low-Energy motes," Agricultural Water Management, Elsevier, vol. 183(C), pages 169-176.
    7. Blanco, Víctor & Domingo, Rafael & Pérez-Pastor, Alejandro & Blaya-Ros, Pedro José & Torres-Sánchez, Roque, 2018. "Soil and plant water indicators for deficit irrigation management of field-grown sweet cherry trees," Agricultural Water Management, Elsevier, vol. 208(C), pages 83-94.
    8. Alireza Abdollahi & Karim Rejeb & Abderahman Rejeb & Mohamed M. Mostafa & Suhaiza Zailani, 2021. "Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    9. Montesano, Francesco Fabiano & van Iersel, Marc W. & Boari, Francesca & Cantore, Vito & D’Amato, Giulio & Parente, Angelo, 2018. "Sensor-based irrigation management of soilless basil using a new smart irrigation system: Effects of set-point on plant physiological responses and crop performance," Agricultural Water Management, Elsevier, vol. 203(C), pages 20-29.
    10. Rosiberto Gonçalves & Jesse J. M. Soares & Ricardo M. F. Lima, 2020. "An IoT-Based Framework for Smart Water Supply Systems Management," Future Internet, MDPI, vol. 12(7), pages 1-17, July.
    11. Thawatchai Thongleam & Kriengkrai Meethaworn & Sanya Kuankid, 2024. "Enhancing melon yield through a low-cost drip irrigation control system with time and soil sensor," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 70(1), pages 13-22.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:183:y:2017:i:c:p:86-93. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.