Federated learning is a machine learning approach that enables the training of models using decentralized data sources, without the need for data centralization. It is a privacy-preserving technique that has the potential to be applied in various industries, including the fishing and seafood industry.
SeafoodChain, powered by UNISOT, can play a significant role in supporting seafood farming on land, also known as land-based aquaculture and Recirculating Aquaculture Systems (RAS).
The seafood industry faces significant challenges in ensuring traceability, sustainability and supply chain efficiency. SeafoodChain and GDST provide game-changing solutions that address these challenges head-on
Honest fishermen are the Guardians of the Sea. They often face several challenges in the wild-caught fishing industry. SeafoodChain can play a vital role in supporting them by implementing features that allow fishermen to record and report their sustainable fishing practices, such as the use of selective fishing gear, responsible handling techniques and adherence to catch limits.
By leveraging its traceability and transparency features, SeafoodChain enables wild-caught fishermen to showcase the origin and sustainability of their catch, enhancing market access and consumer trust. It also facilitates efficient supply chain management, optimizing operations and reducing costs.
With the arrival of the Electronic Trade Documents Bill (ETDB), SeafoodChain’s platform is taking the lead to deliver even greater value.
According to a recent article in The Guardian, new DNA analysis techniques in 44 studies recently done by the Guardian Seascape, discovered staggering results of mislabeling. It is time to deal with these issues on a global scale.
The fish farming industry is one of the fastest growing industries in Norway, and is stated to be the “new oil” and one of the most important industries for the future.
Stephan Nilsson is working with salmon farmers in his native Norway. He’s putting blockchain to use in a practical way.
