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Research on automatic irrigation control: State of the art and recent results

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  • Romero, R.
  • Muriel, J.L.
  • García, I.
  • Muñoz de la Peña, D.

Abstract

Availability of fresh water is one of the elementary conditions for life on Earth, however, water is a limited resource, which is now under an unprecedented pressure by global population growth, climate change and demand from several economic sectors such as tourism, industry, and agriculture. In particular, irrigated agriculture is one of the major water-consuming sectors. The aforementioned issues justify the need for a sustainable and rational use of water in irrigated crops, which motivates the implementation of new precise automatic irrigation technologies based on control theory. In this paper, we introduce the main concepts of control theory, how can it be applied to irrigation and a literature review of automatic irrigation control systems over the last decade. In addition, we present our latest developments in this field. In particular, we present some promising preliminary experimental results of four different control strategies applied to fruit trees in southern Spain to show the potential of the application of control techniques to irrigation.

Suggested Citation

  • Romero, R. & Muriel, J.L. & García, I. & Muñoz de la Peña, D., 2012. "Research on automatic irrigation control: State of the art and recent results," Agricultural Water Management, Elsevier, vol. 114(C), pages 59-66.
  • Handle: RePEc:eee:agiwat:v:114:y:2012:i:c:p:59-66
    DOI: 10.1016/j.agwat.2012.06.026
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    1. Hrozencik, Aaron & Wallander, Steven & Aillery, Marcel, 2021. "Irrigation Organizations: Water Storage and Delivery Infrastructure," USDA Miscellaneous 314931, United States Department of Agriculture.
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    3. Aydin, Boran Ekin & Oude Essink, Gualbert H.P. & Delsman, Joost R. & van de Giesen, Nick & Abraham, Edo, 2022. "Nonlinear model predictive control of salinity and water level in polder networks: Case study of Lissertocht catchment," Agricultural Water Management, Elsevier, vol. 264(C).
    4. Yonela Mndela & Naledzani Ndou & Adolph Nyamugama, 2023. "Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    5. Silva, Marcos Dornelas Freitas Machado e & Calijuri, Maria Lúcia & Sales, Francisco José Ferreira de & Souza, Mauro Henrique Batalha de & Lopes, Lucas Sampaio, 2014. "Integration of technologies and alternative sources of water and energy to promote the sustainability of urban landscapes," Resources, Conservation & Recycling, Elsevier, vol. 91(C), pages 71-81.
    6. Pedro Garcia-Caparros & Juana Isabel Contreras & Rafael Baeza & Maria Luz Segura & Maria Teresa Lao, 2017. "Integral Management of Irrigation Water in Intensive Horticultural Systems of Almería," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    7. Vasilenko, Alexandr & Ulman, Miloš, 2015. "Concept of Horticulture Ambient Intelligence System," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-8, December.
    8. Hrozencik, Aaron & Wallander, Steven & Aillery, Marcel, 2021. "Irrigation Organizations: Water Storage and Delivery Infrastructure," Economic Brief 327232, United States Department of Agriculture, Economic Research Service.
    9. Petit, Julien & García, Sílvia Mas & Molle, Bruno & Bendoula, Ryad & Ait-Mouheb, Nassim, 2022. "Methods for drip irrigation clogging detection, analysis and understanding: State of the art and perspectives," Agricultural Water Management, Elsevier, vol. 272(C).
    10. Luis Pastor Sánchez-Fernández & Diego Alberto Flores-Carrillo & Luis Alejandro Sánchez-Pérez, 2024. "Computer Model for an Intelligent Adjustment of Weather Conditions Based on Spatial Features for Soil Moisture Estimation," Mathematics, MDPI, vol. 12(1), pages 1-33, January.
    11. 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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