FAO AI4DBP - Data integration for actionable knowledge using machine learning скачать в хорошем качестве

FAO AI4DBP - Data integration for actionable knowledge using machine learning

A guide to the use of artificial intelligence for optimising video surveys including sorting juvenile fish to provide early life-history information for particular species, with Dr Michael Bradley from James Cook University, Marine Data Tech Research Group. Michael Bradley is an interdisciplinary scientist with a focus on coastal and marine ecosystems. Based in tropical Australia, he has been working across the Indo-Pacific for 10+ years. Michael's research seeks to understand how different coastal habitats underpin fish populations, fisheries and human communities and is focused on providing relevant, context specific and data rich science for the management of these ecosystems, by harnessing recent innovations such as Artificial Intelligence. Contact Michael Bradley at; michael.bradley@jcu.edu.au Subscribe! http://www.youtube.com/subscription_c... Follow FAO on social media! Facebook -   / unfao   Instagram -   / fao   LinkedIn -   / fao   TikTok -   / fao   Twitter -   / fao   Weibo - https://www.weibo.com/unfao © FAO: http://www.fao.org #SDGs #Agenda2030 #GlobalGoals