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Biodiversity: Difference between revisions
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Changes in climate are increasingly affecting the distribution and composition of ecosystems. This has profound implications for global biodiversity, as well as agriculture, disease, and natural resources such as wood and fish. Machine learning can help by supporting efforts to monitor ecosystems and biodiversity.
== Machine Learning Application Areas ==
* [https://agentmorris.github.io/camera-trap-ml-survey/ Camera Trap ML Survey]▼
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▲* [https://www.cambridge.org/core/books/artificial-intelligence-and-conservation/17C33AF856648B208E47A10813CEC6DF Artificial Intelligence and Conservation]: A curated collection of case studies.
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▲* [https://www.nature.com/articles/d41586-019-00746-1 ''AI empowers conservation biology'']: A high-level overview of this problem space.
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▲* [https://coastalresilience.org/project/ai-conservation/ Natural Solutions Toolkit]: Example in-the-field implementations.
== Online Courses and Course Materials ==
▲* [https://slideslive.com/38926837/tackling-climate-change-with-ml?time=40751s Climate, biodiversity, and land: using ML to protect and restore ecosystems]: An overview talk, with pointers to practical starting points.
== Community ==
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=== Past and upcoming events ===
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▲* [https://agentmorris.github.io/camera-trap-ml-survey/ Camera Trap ML Survey]
== References ==
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