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EPIA Conference on Artificial Intelligence

EPIA 2019: Progress in Artificial Intelligence pp 200–211Cite as

Cyberphysical Network for Crop Monitoring and Fertigation Control

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11804))

Abstract

The most current forecasts point to a decrease in the amount of potable water available. This increase in water scarcity is a problem with which sustainable agricultural production is facing. This has led to an increasing search for technical solutions in order to improve the efficiency of irrigation systems. In this context, this work describes the architecture of an agent-based network and the cyberphysical elements which will be deployed in a strawberry fertigation production plant. The operation of this architecture relies on local information provided by LoRA based wireless sensor network that is described in this paper. Using the information provided by the array of measurement nodes, cross-referenced with local meteorological data, grower experience and the actual crop vegetative state, it will be possible to better define the amount of required irrigation solution and then to optimise the water usage.

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Author information

Authors and Affiliations

  1. Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5301-857, Bragança, Portugal

    João Paulo Coelho & Higor Vendramini Rosse

  2. Centro de Investigação em Digitalização e Robótica Inteligente (CeDRI), Campus de Santa Apolónia, 5300-253, Bragança, Portugal

    João Paulo Coelho

  3. Universidade de Trás-os-Montes e Alto Douro, Escola de Ciências e Tecnologia, 5000-801, Vila Real, Portugal

    José Boaventura-Cunha

  4. INESC TEC Technology and Science, Campus da FEUP, 4200-465, Porto, Portugal

    José Boaventura-Cunha & Tatiana M. Pinho

Authors
  1. João Paulo Coelho
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  2. Higor Vendramini Rosse
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  3. José Boaventura-Cunha
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  4. Tatiana M. Pinho
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Corresponding author

Correspondence to João Paulo Coelho .

Editor information

Editors and Affiliations

  1. INESC-TEC, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Moura Oliveira

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. LIACC/UP, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Coelho, J.P., Rosse, H.V., Boaventura-Cunha, J., Pinho, T.M. (2019). Cyberphysical Network for Crop Monitoring and Fertigation Control. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-30241-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30240-5

  • Online ISBN: 978-3-030-30241-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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