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

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.