An Edge-Assisted IoT Framework for Intelligent Water Quality Anomaly Detection and Early Warning in Bangladesh Aquaculture
Buobe IA context · why it matters
Real-time anomaly detection — Enables immediate response to water quality issues, reducing fish mortality.
Edge computing with ESP32 and Raspberry Pi — Lowers communication latency, ensuring faster early warning generation.
Fique de olho: The framework's implementation could be scaled for broader aquaculture applications in Bangladesh.
In sustainable aquaculture, maintaining optimal water quality is essential, as sudden environmental changes can lead to disease outbreaks, reduced productivity, and significant fish mortality.
