IOT-Based Smart Precision Farming: A Comprehensive Review of Enabling Technologies

The global agricultural sector faces unprecedented challenges, including climate change, water scarcity, and the need to enhance yield to meet rising food demand. Precision farming, empowered by the Internet of Things (IoT), presents a paradigm shift from traditional homogeneous field management to data-driven, site-specific optimization. This paper reviews the core technologies and architectural frameworks essential for implementing a robust IoT-based smart farming system. We examine the integration of wireless sensor networks (WSNs) for real-time field data acquisition (e.g., soil moisture, temperature, humidity, NPK levels), the role of unmanned aerial vehicles (UAVs) for aerial imaging and monitoring, and the suitability of microcontrollers like ESP32 and Arduino for localized control and connectivity. The review details a system architecture that leverages cloud platforms for data analytics, enabling automated decision-making for irrigation, fertilization, and pest control. By synthesizing data from multiple sources, these intelligent systems promise to significantly increase crop productivity, optimize resource usage, and promote sustainable agricultural practices.