AI systems could revolutionize soil science by creating digital soil twins with data from sensors, enhancing soil microbiome monitoring, and trialing climate adaptation strategies in computer models before testing them in the field for faster results.
This is according to a new Frontiers in Science lead article in which researchers Prof Alex McBratney, Prof Budiman Minasny, and Dr Mercedes Dobarco examine how human-guided AI applications—capable of perceptual processing, planning, and scientific reasoning—could accelerate scientific discovery and deliver deeper insights into complex soil ecosystems.
Join the authors at our Frontiers in Science Deep Dive webinar on 2 July 2026, 16:00–17:30 CEST, as they explore how multi-agent AI systems could enable autonomous hypothesis generation, experimental design, and the analysis of complex datasets—freeing researchers to focus on deeper research while maintaining scientific rigor and environmental accountability.
Enhancing soil science research with multi-agent artificial intelligence systems | 2 July 2026 | Register
Frontiers in Science Deep Dive sessions bring researchers, policy experts, and innovators together from around the world to discuss a specific area of transformational science published in Frontiers' flagship, multidisciplinary journal, Frontiers in Science, and explore next steps for the field.