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Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming

Author

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  • M. Safdar Munir

    (Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan)

  • Imran Sarwar Bajwa

    (Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan)

  • M. Asif Naeem

    (School of Computer and Mathematical Sciences, Auckland University of Technology, Auckland 92006, New Zealand)

  • Bushra Ramzan

    (Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan)

Abstract

Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficient plant irrigation that has a database of daily water needs of a type of plant and decides the amount of water for a plant type on the basis of the current moisture in soil, humidity, and time of the day. This approach not only saves sweet water by efficient utilization, but also supports smart consumption of energy. Our approach employs IoT and a set of sensors to efficiently record plant data and their watering needs and the approach is implemented with a mobile phone application interface that is used to continuously monitor and control the efficient watering system. The results of this study are easy to reproduce as the sensors used are cheap and easy to access. The study discusses in this paper is experimented on small area (such as tunnel farm) but the results of the experiments show that the used approach can be generalized and can be used for large size fields for efficient irrigation. The results of the experiments also outperform the manual approach and the similar approaches for sensor based irrigation systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3427-:d:188601
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    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. Cancela, J.J. & Fandiño, M. & Rey, B.J. & Martínez, E.M., 2015. "Automatic irrigation system based on dual crop coefficient, soil and plant water status for Vitis vinifera (cv Godello and cv Mencía)," Agricultural Water Management, Elsevier, vol. 151(C), pages 52-63.
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    4. Soulis, Konstantinos X. & Elmaloglou, Stamatios & Dercas, Nicholas, 2015. "Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems," Agricultural Water Management, Elsevier, vol. 148(C), pages 258-268.
    5. Blonquist, J.M. Jr. & Jones, S.B. & Robinson, D.A., 2006. "Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 153-165, July.
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    Cited by:

    1. Fernanda Moura Quintão Silva & Menaouar Berrehil El Kattel & Igor Amariz Pires & Thales Alexandre Carvalho Maia, 2022. "Development of a Supervisory System Using Open-Source for a Power Micro-Grid Composed of a Photovoltaic (PV) Plant Connected to a Battery Energy Storage System and Loads," Energies, MDPI, vol. 15(22), pages 1-22, November.
    2. Aditya Dinesh Gupta & Prerna Pandey & Andrés Feijóo & Zaher Mundher Yaseen & Neeraj Dhanraj Bokde, 2020. "Smart Water Technology for Efficient Water Resource Management: A Review," Energies, MDPI, vol. 13(23), pages 1-23, November.
    3. Leonardo D. Garcia & Camilo Lozoya & Antonio Favela-Contreras & Emanuele Giorgi, 2023. "A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation," Sustainability, MDPI, vol. 15(14), pages 1-14, July.

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