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

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 dev...

Full description

Saved in:
Bibliographic Details
Published inInternational archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-4/W1-2022; pp. 329 - 336
Main Authors Niers, T., Stenkamp, J., Jakuschona, N., Bartoschek, T.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Gottingen Copernicus GmbH 06.08.2022
Copernicus Publications
Subjects
Animal breeding
Automation
Biodiversity
Birds
Breeding
Data collection
Microphones
Monitoring
Prototypes
Sensors
Species extinction
Threatened species
Websites
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-4-W1-2022-329-2022