FarmFog: The Implementation of Fog Computing and Biometric System in IoT-based Smart Agriculture

Fog computing has emerged as a transformational solution for real-time processing of data in IoT-based agricultural systems, thus surmounting the shortcomings of cloud-centric architectures that entail inefficiencies in bandwidth and latency. The proposed FarmFog framework for fog computing shall be tailored to precision agriculture in optimizing the management of IoT data related to crop health monitoring, irrigation control, and pest detection. This system mimics the hierarchical integration of IoT sensors, fog nodes, and cloud services so as to ensure low-latency responses and energy efficiency. Besides, a decentralized biometric system is deployed at the fog nodes for providing security. In the proposed work, there are dynamic resource allocation policies, energy-aware designs for the fog nodes. The performance is validated by latency, energy consumption, and task completion rates. The FarmFog framework is designed to push forward agricultural productivity while ensuring minimal computational overhead, thereby allowing for scalable and sustainable smart farming solutions.