Smart Farming Solutions: A Case Study of IoT-Driven Automatic Irrigation Systems for Mining Communities in Ghana

G. E. Y. Okai, E. Effah, E. M. Martey, W. A. Agangiba, S. Mensah

Abstract


Ghana, a notable leader in agricultural production, faces multifaceted challenges, particularly in the wake of illegal mining activities impacting water supply and quality. The intricacies of these challenges, compounded by irregular rainfall patterns, necessitate innovative solutions. As agriculture undergoes a digital transformation, there is a pressing need for more intelligent and resource-efficient irrigation systems. This paper presents an innovative approach to address this need by harnessing the power of Internet of Things (IoT) technology. Our proposed automated irrigation system is designed to be intelligent and responsive, leveraging real-time data and connectivity to enhance precision and efficiency in water management for agricultural practices within the Tarkwa Nsuaem Municipality of Ghana. The IoT-based automated irrigation system comprises interconnected sensors, actuators, and a central control unit. Soil moisture sensors collect real-time data, while actuators control water flow based on the information received. The main control unit processes data and communicates with a cloud platform, providing farmers remote access and control via smartphones or computers without needing in-person field visits. Cell phones allow easy contact between the system and farmers, offering a practical and efficient control mechanism. The overall system is powered by solar power.


Keywords


Internet of Things, Automatic Irrigation System, Intelligent Agriculture, Smart Farming, Mining Community

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References


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