The integration of digital technologies in agriculture is transforming traditional farming practices into highly efficient and sustainable systems. Precision farming, supported by the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, enables farmers to monitor, analyze, and optimize agricultural operations in real time. IoT-based smart sensors and connected devices collect data on soil conditions, crop health, weather patterns, and resource utilization, providing a comprehensive view of the farm ecosystem. AI algorithms process these datasets to generate predictive insights for disease detection, yield estimation, irrigation scheduling, and pest management. Meanwhile, Big Data platforms facilitate large-scale storage, integration, and analysis of diverse agricultural datasets, supporting evidence-based decision-making and policy formulation. Collectively, these technologies enhance productivity, reduce input wastage, conserve natural resources, and promote climate-resilient farming systems. This study explores the synergistic role of IoT, AI, and Big Data in precision agriculture and emphasizes their potential in advancing food security, sustainability, and profitability in modern agriculture.