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Smart Irrigation Monitoring and Control

  • Living reference work entry
  • First Online:
Encyclopedia of Smart Agriculture Technologies

Definition

Smart irrigation :

Smart irrigation systems make use of weather data or soil moisture for irrigation scheduling.

Irrigation control :

This is an approach of making an irrigation system respond to errors and changes in the plant environment to meet the water needs of the plant.

Closed-loop control :

This is an irrigation control strategy that uses a mathematical model of the system to make future predictions about the state of the system.

Water use efficiency :

This is the amount of carbon assimilated or grain produced per unit of water used.

Precision irrigation :

This is the real-time site-specific application of irrigation water and nutrients to meet the spatiotemporal variation on crop water and nutrient requirements.

Introduction

Agriculture is the backbone of most emerging economies in the globe contributing tremendously to the gross domestic product (GDP) and food security. Conversely, agriculture has been recognized as a large water consumer industry since it absorbs...

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References

  • Abioye EA, Abidin MSZ, Mahmud MSA, Buyamin S, AbdRahman MKI, Otuoze AO et al (2021) IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment. Inf Process Agric 8:270–283. China Agricultural University. https://doi.org/10.1016/j.inpa.2020.05.004

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  • Boman B, Smith S, Tullos B (2018) Control and automation in citrus microirrigation systems. EDIS. University of Florida, pp 1–13. Available from http://edis.ifas.ufl.edu

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  • Bwambale E, Naangmenyele Z, Iradukunda P, Agboka KM, Houessou-dossou EAY, Akansake DA et al (2022a) Towards precision irrigation management: a review of GIS, remote sensing and emerging technologies. Cogent Eng 9:1–21

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  • Bwambale E, Abagale FK, Anornu GK (2022b) Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: a review. Agric Water Manag 260:1–12. Elsevier B.V. https://doi.org/10.1016/j.agwat.2021.107324

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  • Bwambale E, Abagale FK, Anornu GK (2023) Data-driven model predictive control for precision irrigation management. Smart Agric Technol 3:100074. Elsevier B.V. https://doi.org/10.1016/j.atech.2022.100074

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  • Gu Z, Qi Z, Burghate R, Yuan S, Jiao X, Xu J (2020) Irrigation scheduling approaches and applications: a review. J Irrig Drain Eng 146:04020007

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Author information

Authors and Affiliations

  1. West African Center for Water Irrigation and Sustainable Agriculture (WACWISA), University for Development Studies, Tamale, Ghana

    Erion Bwambale & Felix K. Abagale

  2. Department of Agricultural Engineering, University for Development Studies, Tamale, Ghana

    Erion Bwambale & Felix K. Abagale

  3. Department of Agricultural and Biosystems Engineering, Makerere University, Kampala, Uganda

    Erion Bwambale

Authors
  1. Erion Bwambale
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  2. Felix K. Abagale
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Corresponding author

Correspondence to Erion Bwambale .

Editor information

Editors and Affiliations

  1. Biological Systems Engineering, Washington State University, Prosser, WA, USA

    Qin Zhang

Section Editor information

  1. Center for Precision and Automated Agricultural Systetms, Washington State University, Washington, USA

    Manoj Karkee

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Bwambale, E., Abagale, F.K. (2023). Smart Irrigation Monitoring and Control. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_212-1

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  • DOI: https://doi.org/10.1007/978-3-030-89123-7_212-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89123-7

  • Online ISBN: 978-3-030-89123-7

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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