{"id":8650,"global_id":"www.plantedforests.org\/es?id=8650","global_id_lineage":["www.plantedforests.org\/es?id=8650"],"author":"101","status":"publish","date":"2023-01-27 10:05:39","date_utc":"2023-01-27 09:05:39","modified":"2023-03-01 12:18:15","modified_utc":"2023-03-01 11:18:15","url":"https:\/\/www.plantedforests.org\/es\/event\/conference-on-ai-and-ecosystem-services\/","rest_url":"https:\/\/www.plantedforests.org\/es\/wp-json\/tribe\/events\/v1\/events\/8650","title":"Conference on AI and Ecosystem Services","description":"
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PARTNERS<\/span><\/strong><\/p>\n

Ecosystem management under changing conditions needs new tools to insight and forecast forest dynamic and management. Artificial intelligence is a game changer in forest management. Artificial intelligence (AI) encompasses a wide range of techniques and frameworks dating back to the mid twenty century. The use of AI in forestry is relatively new, especially when compared to the early adoption of AI in other fields. 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 biometry (e.g., analysis of forest structure with 3D point cloud data) but no so common in other ecosystem management domains. Currently, adequate AI algorithms can be efficiently prototyped due to plenty of publicly available databases, open-source libraries and the accessibility to computing platforms.<\/span><\/p>\n

This scientific meeting will be held the week of April 17-21, 2023 in Palencia (Spain)<\/strong> to address Artificial Intelligence in the field of Ecosystem Management in its broadest definition and to foster analysis and debate.<\/span><\/p>\n

More information<\/a><\/span><\/p>\n\n\t

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