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The integration of the Internet of Things (IoT) in agriculture has revolutionized traditional farming practices, particularly in the domain of soilless agriculture systems such as hydroponics, aeroponics, and aquaponics. This study explores the application of IoT-based smart precision farming techniques to enhance productivity, resource efficiency, and sustainability in soilless cultivation environments. By deploying interconnected sensors and automated control systems, key parameters such as nutrient concentration, pH levels, temperature, humidity, and light intensity can be continuously monitored and optimized in real time. The proposed system leverages IoT devices to collect data, which is transmitted to cloud-based platforms for analysis and decision-making. Advanced analytics and machine learning algorithms can further improve crop yield predictions and enable proactive interventions. Automation of irrigation, nutrient delivery, and environmental control minimizes human intervention while reducing water usage and operatonal costs. This research highlights the potential of IoT-enabled precision farming to address challenges such as land scarcity, climate variability, and the growing demand for food. The findings suggest that integrating smart technologies in soilless agriculture not only improves crop quality and yield but also supports sustainable and resource-efficient farming practices. The study concludes that IoT-driven smart farming systems are a promising solution for the future of agriculture, particularly in urban and controlled-environment farming contexts.