30.C 主旨大意题第四段第一句介绍了 Conservation AI开发出的人工智能模型可以在无人机或抓 拍相机获取的图像视频资料中进行搜索,从而发现野生动物并追踪它们的活动;第二句则列出 了目前该组织利用这一模型处理过的资料和监测到的动物的数量;最后两句中,该组织首席研 究员Paul Fergus谈到他们的人工智能平台的强大...
“Now, with the use of AI, we’re able to analyze hundreds of thousands of recordings,” Bourhan Yassin, CEO of Rainforest Connection, told ABC News.. “A process that used to take four and a half months for a single scientist to analyze one species, we can do that in seconds.” ...
Having a more accurate image of the elephant population allows for performance-based conservation payments, such as wildlife credits. In the future, this could help enable organizations to better assess the financial value of nature’s contributions to people (NCP) provided by African forest elephants...
Animal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of d
Microsoft’sAI for Earth initiativeplaces cloud and AI tools in the hands of those working to tackle global environmental challenges, in areas including climate, agriculture, water and conservation. Partnering with National Geographic Society (NGS) on the AI for...
projectsin Africa, we’ve been helping scientists track and better understand the effects of climate change on ecosystems and biodiversity. Going forward, our team is also building upon AI systems used toidentify bird songin Australia, helping advance tools that monitor changing wildlife at scale. ...
(2022) have studied the problems of conventional animal monitoring and the perspective of ML approaches for wildlife conservation. A number of performance improvements and adopting solutions based on ML and sensors are highlighted in their work. The method of elephant recognition with classical computer...
But those working to save these species, which are critical to keeping ecosystems in balance and that alsodraw wildlife tourists, have a powerful new tool at their disposal: artificial intelligence. Conservation Metrics, aMicrosoft AI for Earthgrantee based in Santa Cruz, California,...
We call it Microsoft AI for Earth We need better ways to analyze data about the health of our planet, including the conditions of our air, water, land and the well-being of our wildlife, in order to monitor and measure how these ecosystems are changing, and to manage their resources ...
is already used to manage and classify (manually) camera trapping datasets by many research groups in Europe, the implementation of AI-based automated species classification may significantly speed up the data processing workflow and thus better support data-driven wildlife monitoring and conservation. ...