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International projects source: SICRIS

ARtificial IntelliGence toOl for enviroNmental impact Assessment of bio-based prodUcTs

Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P001  Natural sciences and mathematics  Mathematics 
Keywords
ARtificial IntelliGence toOl for enviroNmental impact Assessment of bio-based prodUcTs
Organisations (1) , Researchers (5)
0481  University of Ljubljana, Biotechnical Faculty
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  59359  Matej Fatur  Plant production  Researcher  2025 
2.  56341  Luka Goropečnik  Forestry, wood and paper technology  Researcher  2025  21 
3.  24295  PhD Matej Jošt  Forestry, wood and paper technology  Researcher  2025  102 
4.  16329  PhD Luka Juvančič  Plant production  Head  2025  460 
5.  16198  PhD Jože Kropivšek  Forestry, wood and paper technology  Researcher  2025  308 
Abstract
ARGONAUT aims to create an accessible, AI-powered tool that calculates the environmental and climate impact of bio-based products across their entire lifecycle, using blockchain technology for secure tracking through a “digital passport.” ARGONAUT is actively empowering small and medium-sized producers to make more sustainable decisions by providing them with reliable information and comparisons of different value chain options. This decision support helps producers choose pathways that align with their environmental goals. ARGONAUT also supports the EU’s Ecodesign for Sustainable Products Regulation, fostering sustainable value chains and driving the shift towards a circular bioeconomy across Europe.
Significance for science
ARGONAUT will provide users with a powerful tool to map out production options, optimise resource use and determine environmental impacts. In this way, both current and prospective small and medium sized producers, now confronting serious doubts about their best available options and enjoying limited resources for their clarification, will have access to a new source of clear and relevant information upon which to base their decisions, especially when it comes to fully understanding the environmental impacts and benefits associated with each of their production alternatives.
Significance for the country
ARGONAUT enables precise life cycle analysis of bio-based products by applying the Life Cycle Assessment (LCA) methodology and artificial intelligence. This is crucial for Slovenian producers striving to transition from a linear to a circular economy. By optimizing resource use and reducing waste, the project directly supports the objectives of the National Program for Transition to a Circular Economy by 2025.
Audiovisual sources (1)
no. Title (with video link) Event Source
1. ARGONAUT    ecris.link.video_fwp 
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