Artificial Intelligence-Based Smart Irrigation System for Climate- Resilient Agriculture in Benin City, Edo State, Nigeria

I. U. Okafor; G. O. Nwodo

doi:10.56201/wjimt.v10.no5.2026.pg205.215

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Artificial Intelligence-Based Smart Irrigation System for Climate- Resilient Agriculture in Benin City, Edo State, Nigeria

I. U. Okafor , and G. O. Nwodo

Abstract

Climate change has increasingly disrupted agricultural productivity in Benin City, Edo State, Nigeria, manifesting through erratic rainfall patterns, prolonged dry seasons, flooding events, and rising temperatures. These challenges have significantly affected smallholder farmers who rely on traditional irrigation methods that are often inefficient, labor-intensive, and incapable of responding to dynamic environmental conditions. This study proposes an Artificial Intelligence (AI)-based irrigation system as an adaptive strategy to enhance water-use efficiency and promote climate-resilient agriculture in the region. The system integrates Internet of Things sensors for real-time monitoring of soil moisture, temperature, and humidity, alongside machine learning algorithms that analyze historical and real-time climate data to predict optimal irrigation schedules. A conceptual framework is developed to demonstrate the interaction between environmental data acquisition, predictive analytics, and automated irrigation control mechanisms. The proposed model aims to minimize water wastage, reduce operational costs, and improve crop yield and quality. Furthermore, the study evaluates the feasibility of implementing such a system within the socio-economic and infrastructural context of Benin City. The findings reveal that AI-driven irrigation systems have strong potential to enhance agricultural sustainability, improve farmers’ adaptive capacity to climate variability, and contribute significantly to food security and rural development in Nigeria and other climate-vulnerable regions.

Keywords

Artificial-IntelligenceSmart-IrrigationClimate-Resilient-AgricultureBenin CityNigeria.

References

Adeyemi, et al. (2018). Limited access to technology and automation. Akanbi, M. B. (2025). Optimizing water resource management using AI irrigation. Akanbi, M. B., et al. (2024). AI-powered smart irrigation systems and solar energy integration in Nigeria. Andrew, J. (2025). A meta-review on AI in irrigation practices in Nigeria. Archibong, E. A., et al. (2025). Smart irrigation in Nigeria: A solution to food insecurity. Food and Agriculture Organization of the United Nations . (2021). The state of food and agriculture in Africa through digital technologies. Washington, DC: World Bank. Hamisu, K., et al. (2025). AIoT in Nigerian agriculture. Hang, V., et al. (2018). AI in smart agriculture systems. Huang, I., Wang, Y., Hui, L., & Xiao, C. (2025). Intelligent water-saving irrigation system based on multi-sensor fusion and visual servoing control. International Water Management Institute . (2021). Annual report / water management initiatives. Jaiswal, et al. (2025). AI-based smart irrigation systems. Kim, et al. (2020). AI-based smart irrigation systems using real-time environmental data and predictive algorithms. Klerkx, L., et al. (2019). Digital agriculture and artificial intelligence transformation. (University of Benin Repository). Lawal, Y., & Adebisi, O. (2024). AI and IoT-based smart irrigation systems. Melkonen, B. M. (2025). Integrating AI and remote sensing in precision agriculture for sustainable irrigation monitoring in Ethiopia. American Journal of Artificial Intelligence. Mohammed, J. M., et al. (2024). AI-powered irrigation systems in Nigeria. Naqvi, S. M. Z., et al. (2025). Climate-resilient water management using AI and IoT. National Aeronautics and Space Administration . (2023). NASA POWER project. Retrieved from https://power.larc.nasa.gov Saheed, A. (2025). Smart irrigation revolution in Nigeria. Shamshiri, et al. (2021). AI-powered irrigation systems. The Nigerian Meteorological Agency . (2022). Retrieved from https://www.nimet.gov.ng United Nations Environment Programme . (2022). Climate change and food systems in Africa. Nairobi: UNEP. World Bank. (2020). Transforming agriculture in Africa through digital technologies. Washington, DC: World Bank. World Bank. (2021). Increasing climate variability due to global warming. Washington, DC: World Bank.

Artificial Intelligence-Based Smart Irrigation System for Climate- Resilient Agriculture in Benin City, Edo State, Nigeria

Abstract

Keywords

References

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