SEE Shell (by SeeTurtles.org) 对比 RASTR 的使用情况和统计数据

SEE Shell crowdsources photo reports of turtleshell products to track the trade of Hawksbill sea turtle shells. It is a tool designed to quickly and accurately determine, through machine learning, if a product for sale is turtleshell or a faux or similar object. SEE Shell was developed as part of the Too Rare To Wear campaign, a project of SEE Turtles, a sea turtle conservation non-profit. This app was built by a partnership of SEE Turtles, in collaboration with members of the Smithsonian Institution Data Science Lab and Conservation Biology Institute and Valtech. SEE Turtles partners who have helped develop this tool include the Turtle Foundation, Yayasan Penyu Indonesia, Fundacion Tortugas del Mar (Colombia), Latin American Sea Turtles (Costa Rica), and Fauna & Flora International (Nicaragua).
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Sea turtles live in many of the world’s oceans and thus, researchers around the world study many different aspects of sea turtle biology. We have designed this app so that researchers can log turtle capture, nesting, or product data and location. By mapping these records, researchers can keep track of data collection locations, capture history, and monitor conservation efforts in areas of interest. Researchers have traditionally used paper data sheets to collect sea turtle information. However, depending on the projects being conducted, there may be several data sheets for one project. These data sheets may be degraded by rain, humidity, or fire. It is our hope that sea turtle researchers will utilize RASTR to help consolidate and supplement physical data sheets, and digitally store their data on a cloud-based system that is not subject to the same degradative effects. Thank you for using RASTR to aid in your data collection. We hope that it will be a useful and enjoyable experience.
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  • 免费
  • 教育

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SEE Shell (by SeeTurtles.org)与RASTR排名比较

对比 SEE Shell (by SeeTurtles.org) 与 RASTR 在过去 28 天内的排名趋势

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SEE Shell (by SeeTurtles.org) 对比 RASTR 的排名,按国家/地区比较

对比 SEE Shell (by SeeTurtles.org) 与 RASTR 在过去 28 天内的排名趋势

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SEE Shell (by SeeTurtles.org) VS.
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十二月 30, 2024