[IUFRO Div 4] IUFRO2024: Session T5.1 "Artificial Intelligence in Forest Biometry: from predictions to understanding"

Dear Colleagues, On behalf of the session organisers, I would like to invite you to submit abstracts for oral talks and posters as part of T5.1 entitled "Artificial Intelligence in Forest Biometry: from predictions to understanding" of the IUFRO World Congress held at Stockholm on 23-39 June 2024. Please submit your abstracts by June 2nd 2023 at https://www.appinconf.com/kas/Abstract?projectName=iufro2024abstracts<ht…p$>. Best wishes, Felipe Bravo Session organisers: Felipe Bravo, Clara Antón-Fernández, Sheng-I Yang Artificial intelligence (AI) encompasses a wide range of techniques and frameworks dating back tothe mid twenty century. The use of AI in forestry is relatively new, especially when compared to the early adoption of AI in other fields such as agriculture. In forest biometry, the irruption of AI spins researchers and practitioners to unfold the analysis of complex big data. Narrow AI, defined as an AI system that is specified to perform a limited task, is commonly applied in forest biometry (e.g., analysis of forest structure with 3D point cloud data). Currently, it is possible to efficiently prototype AI algorithms thanks to plenty of publicly available databases, open-source libraries, and the accessibilityto computing platforms. However, the application of AI in forest biometry is mainly focused on improving predictions. Due to the potential power of AI, opportunities are open to broad applications of AI, such as enhancing the understanding of forest processes. Thus, it is important to discuss, jointly with academia and industrialsectors, about the implications, limitations, and capabilities of this technology as an alternative quantitative method. Prof. Dr. Felipe Bravo Catedrático de Planificación Forestal/Professor of Forest Management Chair SMART Global Ecosystems | Senior Researcher at iuFOR Instituto Universitario de Gestión Forestal Sostenible | Sustainable Forest Management Research Institute Universidad de Valladolid ETS Ingenierías Agrarias, Universidad de Valladolid Avda. de Madrid, 44 -- 34004 Palencia España-Spain Tl +34 979108424 Fx.+34 979108440 https://smartglobalecosystems.uva.es/ | http://www.research4forestry.eu https://orcid.org/0000-0001-7348-6695 | https://portaldelaciencia.uva.es/investigadores/181874/detalle