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Science and Technologies for Smart Cities. 5th EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings

Research Article

Yet a Smarter Irrigation System

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  • @INPROCEEDINGS{10.1007/978-3-030-51005-3_28,
        author={S\^{e}rgio F. Lopes and Rui M. S. Pereira and Sofia O. Lopes and Micael Coutinho and Aureliano Malheiro and Victor Fonte},
        title={Yet a Smarter Irrigation System},
        proceedings={Science and Technologies for Smart Cities. 5th EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings},
        proceedings_a={SMARTCITY},
        year={2020},
        month={7},
        keywords={Irrigation planning Optimal control Internet of Things},
        doi={10.1007/978-3-030-51005-3_28}
    }
    
  • Sérgio F. Lopes
    Rui M. S. Pereira
    Sofia O. Lopes
    Micael Coutinho
    Aureliano Malheiro
    Victor Fonte
    Year: 2020
    Yet a Smarter Irrigation System
    SMARTCITY
    Springer
    DOI: 10.1007/978-3-030-51005-3_28
Sérgio F. Lopes1,*, Rui M. S. Pereira2, Sofia O. Lopes2, Micael Coutinho2, Aureliano Malheiro3, Victor Fonte
  • 1: Centro Algoritmi
  • 2: Center of Physics
  • 3: CITAB
*Contact email: sergio.lopes@dei.uminho.pt

Abstract

A new type of irrigation system is being developed in the context of the research project 02/SAICT/2017-28247-FCT-TO-CHAIR. The output are irrigation plans based on optimal control theory that minimize water usage and keep crops safe. In this paper, we present the main features of the system prototype. The system uses soil moisture sensors in the field, weather forecasts and parameters that the farmer provides. This data is input to an Octave/Matlab program that implements an Optimal Control algorithm to compute the irrigation plan for the crop field. The system consists of an electronic device that interfaces the sensors in the field and a server computer. The field device reads data from any analogue sensors and uses mobile communications to upload the data to the server computer. The server provides a website for users to insert data about their crops and fields and it retrieves weather forecast data from a freely available service. Once a day the server runs the Optimal Control irrigation-planning algorithm and the result is provided on the user web page using both numerical and graphical formats. Due to the diversity of irrigation infrastructures installed in crop fields and water availability for irrigation, the system does not automatically control/actuate the irrigation. That task is left on the hands of the farmer.

Keywords
Irrigation planning Optimal control Internet of Things
Published
2020-07-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-51005-3_28
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