Smart Aquaculture Developer
Learn the skills of a professional cloud application developer, building smart data-driven applications to solve ecological data problems with the Smart Aquaculture Developer
Develop an open source FIWARE data space for ocean, fish population, map, water quality, and ecological forecasting data.
Simulate fishing trips from fishing docks to fish populations, running simulations to calculate the cost of seasonal fishing.
Our goal is to use AI to demonstrate the value of a new aquaculture/fisheries economy based on a digital twin.
Integrate Open Street Map and Overpass APIs with fish populations as a digital twin to simulate the fishing industry, finding ways to optimize the supply chain with AI.
Implement blockchain distributed technology for tracking fish creates traceable value for seafood.
Integrate with IoT devices and university research programs to build modern edge-to-cloud solutions to improve aquaculture and fishery observability and GitOps for resilience against storms.
See how easy it is to get started with open source software development with the Smart Aquaculture developer platform.
University research inquiries into clubs, training, program collaboration are being considered in 2026. Please email smaq@group.computate.org for more information.
Things you'll learn:
- How to configure VSCode to develop the Smart Aquaculture Developer.
- How to install an up to date OpenJDK Java Development Kit on your system.
- How to fork the computate.org GitHub repositories to develop new features and pull requests.
- How to build your sovereign AI code generation model of your code base on your own computer. The Computate AI code generation tools never share your data with anyone. The entire code model is stored in your own Apache Solr search engine, and is used to build your own ideas into code up to 50 times faster than you could do by hand, you'll see!
- How to start the Computate sovereign AI code generation watcher service to generate code as you save.
- Use Jupyter Notebooks that help you update your project with new APIs and data models and integrate them into your site.
The Smart Aquaculture Developer runs on a Microsoft Windows 11 Professional computer, or Linux x86_64 computer. Supported operating systems and Linux distributions include:
Other Linux distros may also be supported
Unfortunately, MacOS is not supported with OpenShift Local since MacOS became ARM64 architecture.
If you are purchasing a laptop or desktop computer, I would suggest the following specs:
- At least 64 GiB RAM. Laptops with at least 64 GiB RAM have enough to run OpenShift Local and Spine Programming microservices.
- At least 12 CPUs. Laptops with at least 12 CPUs have enough to run OpenShift Local and Spine Programming microservices.
- At least 500 GiB solid state drive (SSD) storage. 1 TiB is enough storage for most developer's applications and documents.
- No GPUs are required for Spine Programming.
Get your questions answered. The webinars will occur live most weekdays.
Learn with the computate.org open source community as we build the platform together.