Integrating intelligent computing for optimized vertical farming systems in arid climates : a case study on wheat production in Algeria

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Hallas, Nour Elhouda and Moreno-Rangel, Alejandro; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025) Integrating intelligent computing for optimized vertical farming systems in arid climates : a case study on wheat production in Algeria. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 624-634. ISBN 9781914241826 (https://doi.org/10.17868/strath.00093272)

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Abstract

The demand for sustainable agriculture in arid climates, driven by food security challenges and environmental constraints, necessitates innovative solutions. Algeria imports a significant portion of its wheat annually due to low domestic production, highlighting the need for climate-adaptive strategies. Vertical farming offers a promising alternative, enabling controlled, year-round cultivation while reducing water consumption and mitigating extreme weather effects. However, its implementation in resource-limited, high-temperature regions like Algeria requires optimized designs that balance energy efficiency and productivity. This paper explores the integration of intelligent computing and solar-powered systems to enhance vertical wheat farming in Timimoun. The study uses computational modeling and simulation to maximize efficiency and assesses farm configurations, lighting strategies, and climate control mechanisms. The findings aim to establish a sustainable framework for vertical wheat farming in arid environments, addressing energy consumption, environmental control, and scalability challenges.

ORCID iDs

Hallas, Nour Elhouda and Moreno-Rangel, Alejandro ORCID logoORCID: https://orcid.org/0000-0001-6405-4233; Moreno-Rangel, Alejandro and Kumar, Bimal
  • Item type:Book Section
    ID code:93272
    Dates:
    Date
    Event
    1 July 2025
    Published
    9 June 2025
    Accepted
    Subjects:Fine Arts > Architecture
    Department:Faculty of Engineering > Architecture
    Depositing user: Pure Administrator
    Date deposited:27 Jun 2025 10:53
    Last modified:05 Jun 2026 00:28
    URI:https://strathprints.strath.ac.uk/id/eprint/93272
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