The rapid adoption of Artificial Intelligence (AI) and Internet of Things (IoT) in agriculture has enabled real-time soil quality assessment, reduced manual labour and improved productivity. This paper presents an AI-driven IoT system that continuously monitors key soil parameters, such as moisture, temperature, and nutrient levels, and integrates cloud computing and predictive analytics to optimize farm management. The system, based on Hive MQ IoT, Node-RED, and Open Weather API, provides automated decision-making for efficient irrigation and resource utilization. The research evaluates the system’s performance against traditional models and highlights its potential to revolutionize precision farming.
