37th EFFoST International Conference 2023

November 6-8th 2023 | 37th EFFoST International Conference 2023

MEETING AIMS:

The 37th EFFoST International Conference 2023 was hosted by the University of Valencia and the Institute of Agrochemistry and Food Technology (IATA-CSIC), supported by an independent scientific committee.

The European Green Deal and the Sustainable Development Goals require the food sector to develop innovative and sustainable processes to accelerate the transition to sustainable food systems that ensure food security, nutrition, and public health. EFFoST2023 has showcased the latest scientific discoveries and technologies to obtain new ingredients and foods. This conference paved the way to achieving effective solutions and contributing to the goal that everyone has access to sufficient, safe, nutritious, and sustainable food.

CONFERENCE TOPICS:

The 37th EFFoST International Conference explored the theme: Sustainable Food and Industry 4.0: Towards the 2030 Agenda. This is further examined in the below-mentioned sub-themes and topics that highlight the expertise of our conference hosts.

Food Sustainability

• Sustainable development goals in public and private institutions
• Development of sustainable food production systems
• Responsible consumption and production
• Innovative food processing technologies

New food product development: from risk assessment to nutritional foods

• Valorization of bioactive compounds from food side streams
• Innovative food processing tools for mitigation of contaminants
• New techniques and technologies for tailored food design
• Application of digital technologies in food chain and food sectors
• Health aspects

Food and Microbes

• Food microbes and fermentation
• In vitro vs in vivo assays: implications on health
• Food-Microbiota data integration

HOLIFOOD PRESENTATION:

One member of the project held a conference presentation on the HOLiFOOD project. Moreover, the project was mentioned sponsoring slide “Feasibility of an AI-powered observatory for crop yield prediction”. using satellite images”.

Feasibility of an AI-powered observatory for crop yield v3