Edge-Intelligence for Sustainable Pisciculture: Machine Learning Framework for Real-Time Environmental Monitoring and Weather-Driven Grow Forecasting
Modern aquaculture requires continuous physicochemical monitoring and automated health surveillance to prevent substantial economic losses caused by rapid environmental fluctuations and insidious disease outbreaks. Although cloud-based platforms can centralize monitoring and analytics, they often introduce unacceptable...