New technology crucial for agri-food sector

Watch our for the effects of advances in big data, 3D printing, artificial intelligence, robotics, nanotechnology and biotechnology, say Teagasc experts who are monitoring how these “disruptive” innovations can cause fundamental shifts in the economic landscape and bring new risks and opportunities.

The Teagasc 2030 Foresight initiative aims to identify and investigate key technologies for the Irish agri-food and bioeconomy sector, with the help of about 200 leading national and international experts from scientific disciplines and academic institutions, and industry and policy stakeholders.

The continuous development and application of new knowledge and new technologies are crucial to realising national policy objectives for the sector, according to Teagasc.

The Teagasc 2030 Foresight initiative will address the research and innovation needs of an internationally competitive Irish agri-food industry; it will also examine how new knowledge could enable agriculture and the broader economy benefit from production of non-food products such as biofuels, pharmaceuticals and renewable industrial feed stocks.

Teagasc will consult directly with key industry stakeholders, including farming and food representative bodies, the third-level sector and other State agencies, and now invites interested members of the public and individuals directly involved in farming, the food industry and the emerging bio-economy to also make submissions.

Of particular interest to Teagasc are views relating to:

Future development opportunities that can be driven by science and technology.

The critical challenges and threats to the agri-food and bio-industry that can be addressed by science and technology.

Areas of science and technology that should be prioritised. How Teagasc can help stakeholders exploit new opportunities in agriculture and food as well as the new bio-based industries.

And mechanisms to support research and innovation.

Submissions should be sent by email to (further details at


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