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Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
March 6, 2024, 5:42 a.m. | Kinga Skorupska, Rafa{\l} Stryjek, Izabela Wierzbowska, Piotr Bebas, Maciej Grzeszczuk, Piotr Gago, Jaros{\l}aw Kowalski, Maciej Krzywicki, Jagoda Laz
cs.LG updates on arXiv.org arxiv.org
Abstract: Technology is increasingly used in Nature Reserves and National Parks around the world to support conservation efforts. Endangered species, such as the Eurasian Lynx (Lynx lynx), are monitored by a network of automatic photo traps. Yet, this method produces vast amounts of data, which needs to be prepared, analyzed and interpreted. Therefore, researchers working in this area increasingly need support to process this incoming information. One opportunity is to seek support from volunteer Citizen Scientists …
abstract arxiv case citizen science conservation cs.cv cs.cy cs.hc cs.lg endangered species free machine machine learning nature network photo research science support technology type world
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