Blockchain for improved production on poultry farms

The use of blockchain and smart contracts is becoming widespread across multiple industries where it is used to enhance security and transparency, streamline and automate processes, and increase productivity.

As pointed out in the “Global Blockchain Technology Strategic Business Report” by Research and Markets, the global blockchain technology market, valued at approximately $2.5 billion in 2022, will attain a value of an estimated $77 billion by 2030. The BISITE Research Group and AIR Institute are aware of that growth and are working on diverse projects with blockchain technologies, seeking to provide solutions to climate change and industries such as agriculture and hospitality.

One such example is SCAN, a project developed by AIR Institute that focuses on maintaining traceability in poultry farms. To achieve this, a platform has been developed that integrates various sources of information to create smart contracts based on the Ethereum blockchain platform, enabling production traceability. In addition, SCAN has the ability to provide producers with recommendations to improve their productivity through machine learning models.

Traceability team working on SCAN project

We are also working on other projects based on this technology, such as the European INNO4CFIS, recently presented in Rome, which aims to improve carbon farming initiatives by ensuring biodiversity, water security and soil health. In this case, BISITE is in charge of developing the actions related to artificial intelligence and green blockchain, the latter being more environmentally friendly.

BISITE and AIR Institute are committed to working for the advancement of these and other innovative technologies so that solutions can be provided across a wide range of sectors, relying on collaborations and alliances with other entities, such as our most recent one with Microsoft.

Juan Manuel Corchado

Full Professor in Computer Science and Artificial Intelligence, Department of Computer Science and Automation, University of Salamanca, Spain.


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