ADO: An open digital end-to-end tank based aquaculture platform

Area of Science:

• Aquaculture Technology
• Internet of Things (IoT)
• Data Science

Background:

• The aquaculture sector faces challenges in adopting advanced technologies due to cost and complexity.
• Digitization can significantly improve efficiency, sustainability, and profitability in aquaculture operations.
• Existing solutions are often expensive and require specialized technical expertise, limiting accessibility for smaller producers.

Purpose of the Study:

• To present the development of the Aquaculture Digitization and Optimization (ADO) project, an open-source IoT solution.
• To detail the core components of the ADO platform: data acquisition, storage, and visualization.
• To demonstrate how ADO facilitates technology adoption for small and medium-sized aquaculture producers.

Main Methods:

• Development of open-source hardware for data acquisition (sensors, controllers).
• Implementation of a scalable, cloud-based data storage system.
• Creation of an intuitive, web-based data visualization platform for real-time monitoring and analysis.
• Integration of hardware components with the back-end infrastructure.

Main Results:

• Successful development of modular, open-source building blocks for aquaculture digitization.
• Demonstration of seamless integration between data acquisition, storage, and visualization components.
• Establishment of a functional back-end infrastructure supporting data processing and user access.
• The ADO platform is designed for ease of use, requiring minimal technical background.

Conclusions:

• The ADO project provides a cost-effective and accessible IoT solution for the aquaculture sector.
• Open-source development lowers barriers to entry for technology adoption among small and medium producers.
• The described platform architecture enables efficient data management and informed decision-making in aquaculture.