The Internet of Things (IoT) for smart agriculture is a rapidly evolving research area focused on leveraging interconnected sensors, actuators, and intelligent systems to enhance crop management, livestock monitoring, and overall farm productivity. Research papers in this domain explore applications such as precision farming, soil and climate monitoring, irrigation optimization, pest and disease detection, and supply chain management. Key contributions include AI-driven analytics for yield prediction, edge/fog-assisted real-time decision-making, wireless sensor network integration, and secure, energy-efficient data communication. Recent studies also address challenges such as scalability, interoperability, energy constraints, and data privacy, while exploring the integration of IoT with drones, robotics, and blockchain for traceability and sustainable farming practices. By combining IoT technologies with advanced analytics, smart agriculture research aims to improve resource efficiency, crop quality, and environmental sustainability in modern agricultural ecosystems.