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Low-Cost Smart Indoor Greenhouse for Urban Farming

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

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Abstract

Currently, people want to take control of what they consume as well as the local authorities pursue to implement measures to improve sustainability, food security, and living standards. Indoor urban farming initiatives provide an opportunity to grow their own and obtain fresher food with fewer transportation emissions, likewise, it is a strategy to lift people out of food poverty, reduce environmental impact since the use of herbicides and pesticides is minimal and helps to reduce food waste. However, factors such as the time dedicated to the cultivation of plants, and the adequate space inside their houses prevents them from carrying out this activity.

This project presents the design of a low cost smart indoor greenhouse design to cultivate herbs and vegetables with minimum human intervention monitored by a web application. The prototype has three systems to control and monitor the main variables involved in the plant’s growth such as soil moisture, temperature, and solar light intensity. Likewise, it is suitable for a home with little space and it is easily installable, has low energy consumption, and is cost-efficient.

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Author information

Authors and Affiliations

  1. Universidad de la Costa, Barranquilla, Colombia

    Melisa Acosta-Coll, Daniel Anaya & Luis Ojeda-Field

  2. Universidad Cooperativa de Colombia UCC, Bucaramanga, Colombia

    Ronald Zamora-Musa

Authors
  1. Melisa Acosta-Coll
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  2. Daniel Anaya
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  3. Luis Ojeda-Field
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  4. Ronald Zamora-Musa
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Corresponding author

Correspondence to Melisa Acosta-Coll .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Acosta-Coll, M., Anaya, D., Ojeda-Field, L., Zamora-Musa, R. (2021). Low-Cost Smart Indoor Greenhouse for Urban Farming. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12952. Springer, Cham. https://doi.org/10.1007/978-3-030-86973-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-86973-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86972-4

  • Online ISBN: 978-3-030-86973-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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