A new study, Rapid evidence mapping of soil fauna responses to agricultural management assisted by large language models, published in Geoderma examines how artificial intelligence can assist researchers in navigating the growing volume of scientific literature.

The authors, including Marko Debeljak and Vid Podpečan from the EcoEnvAI research group, from E8 at the Jožef Stefan Institute, alongside an international team of collaborators, developed an LLM-assisted workflow to automatically extract and structure knowledge from scientific abstracts, enabling rapid evidence mapping in soil science.

The study demonstrates the application of AI in supporting environmental research, identifying knowledge gaps, and accelerating scientific synthesis.

The open-access paper is available at: https://www.sciencedirect.com/science/article/pii/S0016706126002181