Extensive and Intensive Aqua-fisheries dataset

Bangladesh's aquaculture industry provides employment and food security. However, water quality management, disease control, and environmental monitoring continue to hinder aquaculture productivity and sustainability. This research uses IoT devices to create a comprehensive aqua fisheries dataset to solve these issues.The project uses IoT sensors and data collection methods to monitor water temperature, pH, dissolved oxygen, and turbidity in Bangladeshi aquaculture ponds. Aquaculture producers and stakeholders can remotely monitor and access data for timely decision-making due to the connectivity of IoT devices. Both extensive and intensive aquaculture environments have been chosen to collect the data.  The project uses comprehensive field experiments and data analysis to discover correlations between environmental conditions and aquaculture productivity to help stakeholders improve resource use and reduce environmental concerns. A unified database will store, organize, and analyze data, promoting Bangladeshi aquaculture research and innovation. This project should improve aquaculture management practices, boosting Bangladeshi fish producers' production, sustainability, and profitability. The dataset provided by this project will also benefit researchers, policymakers, and industry specialists, encouraging aquaculture collaboration and innovation.