Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects

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 pr...

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Bibliographic Details
Published inarXiv.org
Main Authors Skorupska, Kinga, Stryjek, Rafał, Wierzbowska, Izabela, Bebas, Piotr, Grzeszczuk, Maciej, Gago, Piotr, Kowalski, Jarosław, Krzywicki, Maciej, Lazarek, Jagoda, Kopeć, Wiesław
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 05.03.2024
Subjects
Artificial neural networks
Endangered species
Insects
Labels
Machine learning
National parks
Nature reserves
Wildlife conservation
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Summary: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 who can help label the data, however, it is challenging to retain their interest. Another way is to automate the process with image recognition using convolutional neural networks. During the panel, we will discuss considerations related to nature research and conservation as well as opportunities for the use of Citizen Science and Machine Learning to expedite the process of data preparation, labelling and analysis.
ISSN:2331-8422