MULTI-SENSOR FEEDER: AUTOMATED AND EASY-TO-USE BIRDS MONITORING TOOL FOR CITIZENS

Niers T.; Stenkamp J.; Jakuschona N.; Bartoschek T.

Research article in digital collection (conference) | Peer reviewed

Abstract

Nowadays, more species are threatened with extinction than ever before in the human era. Especially breeding birds are considered endangered. At the same time, it is difficult to obtain sufficient data not only to raise awareness for this situation, but also to gain a better understanding and to develop potential countermeasures. We show how a citizen science based biodiversity monitoring for birds, using an automated and easy-to-use multi-sensor feeder, can look like. In doing so, we compare different configuration options concerning technical components, casing, as well as software to be used and present our suggested prototype: A smart bird feeder including an environmental sensor, a microphone, as well as a balance and a camera in a wooden case. It identifies the type of visiting birds using AI and publishes the recognized species, including all further collected data, on an open access website. The station can be reproduced by anyone at an affordable price in a Do-It-Yourself format, making citizens a key contributor to biodiversity monitoring.

Details about the publication

Name of the repositoryISPRS Archives
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
ConferenceFOSS4G 2022 - Free and Open Source Software for Geospatial Conference 2022, Firenze, Italy
DOI10.5194/isprs-archives-XLVIII-4-W1-2022-329-2022
Link to the full texthttps://api.elsevier.com/content/abstract/scopus_id/85137180207
KeywordsArtificial Intelligence; Biodiversity Monitoring; Citizen Science; Do-It-Yourself; Image Recognition; Open Science; Reproducibility; Species Distribution

Authors from the University of Münster

Bartoschek, Thomas
FB14 - Faculty of Geosciences (FB14)