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A wireless sensors architecture for efficient irrigation water management

Author

Listed:
  • Navarro-Hellín, H.
  • Torres-Sánchez, R.
  • Soto-Valles, F.
  • Albaladejo-Pérez, C.
  • López-Riquelme, J.A.
  • Domingo-Miguel, R.

Abstract

Water is an essential resource for the development of agriculture. In several locations like the south-east of Spain water is scarce and its cost is high, so optimal management of this important resource is essential. Therefore, the application of irrigation strategies to improve the watering process, affects the profitability of crops quite significantly. It is necessary to carry out the instrumentation of the variables that affect the growing process of the crop (soil, water and plant) and use the techniques associated with this instrumentation to take actions to optimize the production. The system proposed in this paper uses information and communication technologies, allowing the user to consult and analyze the information obtained by different sensors from any device (computer, mobile phone or tablet) in an easy and comfortable way. The proposed architecture is based on different wireless nodes equipped with GPRS connectivity. Each wireless node is completely autonomous and makes use of solar energy, giving it virtually unlimited autonomy. Different commercial sensors for measuring the wide range of parameters of the soil, plant and atmosphere can be connected to the nodes. The data is sent and processed on a remote server, which stores the information of the sensors in a database, allowing further consultation and analysis of data in a simple and versatile way.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:64-74
    DOI: 10.1016/j.agwat.2014.10.022
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    References listed on IDEAS

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    1. Puerto, P. & Domingo, R. & Torres, R. & Pérez-Pastor, A. & García-Riquelme, M., 2013. "Remote management of deficit irrigation in almond trees based on maximum daily trunk shrinkage. Water relations and yield," Agricultural Water Management, Elsevier, vol. 126(C), pages 33-45.
    2. Nolz, R. & Kammerer, G. & Cepuder, P., 2013. "Calibrating soil water potential sensors integrated into a wireless monitoring network," Agricultural Water Management, Elsevier, vol. 116(C), pages 12-20.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

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