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WILDLABS
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We've wrapped our first AI for Conservation Office Hours, a new programme where we set up 1:1 sessions with conservationists using or thinking about using AI so they could receive expert guidance from data scientists at Microsoft and... |
AI for Conservation, Community Base |
Tuesday 14 December, 2021 |
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WILDLABS
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Today is the launch of our first annual State of Conservation Technology Report! Explore insights from this first-ever global, community-sourced assessment of the state of the field. |
Community Base |
Monday 13 December, 2021 |
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Yahoo
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According to a news article published by Yahoo on September 28th, 2021, all Online technology companies in the Coalition to End Wildlife Trafficking Online reported removing or blocking over 11.6 million listings and posts of illegal... |
Wildlife Crime |
Monday 6 December, 2021 |
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Wake Forest University
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This study breaks ground in outlining a methodology for a system of low-cost, long-term camera traps (Dispersed Environment Acquatic Cameras) that can be deployed over large spatial scales in remote marine environments. Using machine... |
AI for Conservation, Camera Traps |
Tuesday 30 November, 2021 |
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BBC
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In pursuit of saving the Monarch butterflies, Carlo Mondavi- pioneer of the Monarch challenge- was inspired to develop the world's first fully electric smart tractor tractor with co-founder and Chief Executive, Praveen Penmetsa. The... |
Climate Change, AI for Conservation, Sensors |
Monday 29 November, 2021 |
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Joycelyn Longdon
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This research article explores the challenges of achieving environmental data justice, with the continued advancement in technology and growth in available data. The author emphasises the necessity to prioritise conversations around... |
Climate Change, AI for Conservation |
Friday 26 November, 2021 |
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Sara Beery
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In Ellie Warren's interview with Sara Beery as part of the Technical Difficulties Editorial Series, they discussed how the hype surrounding machine learning impacts our perceptions of failure, and how conservationists can develop good... |
AI for Conservation, Camera Traps |
Tuesday 23 November, 2021 |
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Swarm Technologies
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In this article, Swarm Technologies give a detailed analysis of the tradeoffs between the most common IoT connectivity solutions to improving food production, combating climate change, optimizing supply chains and many more. Evaluation and... |
Climate Change, Remote Sensing & GIS, Sensors |
Friday 19 November, 2021 |
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WILDLABS
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Last year, WILDLABS evolved our annual community survey into a comprehensive assessment of the State of Conservation Technology, which will be published in the coming weeks. Take the 2021 survey to help us build from this 2020 baseline to... |
Community Base |
Friday 19 November, 2021 |
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Sensing Clues Foundation
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CAIMAN is a product from the Sensing Clues Foundation that automatically classifies animals on images from camera traps. It aims to be available by the end of 2021, contact the Sensing Clues team for more details.
This following details... |
AI for Conservation, Camera Traps |
Thursday 18 November, 2021 |
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Juliana Masseloux
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In her case study from our Technical Difficulties Editorial Series, Juliana Masseloux discusses her challenges in working with camera traps to study elusive and rare animals like the pangolin, and shares her best advice for others who are... |
Camera Traps |
Thursday 11 November, 2021 |
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Monterey Bay Aquarium Research Institute
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The Monterey Bay Aquarium Research Institute has an extensive acoustic archive from underwater recordings and has made their valuable dataset available to researchers around the world via an open data registry on the Amazon Web Services (... |
Acoustic Monitoring |
Friday 5 November, 2021 |