An adaptive edge system with FSM-guided tiering, multi-model YOLO consensus, and diurnal sensor fusion improves standing water detection performance while using less energy and maintaining bounded latency than static baselines.
Overview of edge computing in the agricultural internet of things: Key technologies, applications, challenges
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Edge-Based Standing-Water Detection via FSM-Guided Tiering and Multi-Model Consensus
An adaptive edge system with FSM-guided tiering, multi-model YOLO consensus, and diurnal sensor fusion improves standing water detection performance while using less energy and maintaining bounded latency than static baselines.