2025
Biodiversity at risk – what can we do to ‘bend the curve’?
Publication
Publication
In this chapter we further detail what ARISE is and explain with tangible examples what automated species recognition for large-scale biodiversity monitoring entails. We start by sketching the landscape of measuring biodiversity in the field (Section 2). Next, we focus on the end-to-end pipeline of (i) digital biodiversity sensors (Section 3); (ii) managing diverse and large amounts of data in a state-of-the-art data lakehouse system (Section 4); and (iii) digital species identification using AI, in particular deep learning (Section 5). We end this chapter with conclusions and lessons learned from the ARISE initiative so far and present an outlook for automated species recognition and biodiversity monitoring.
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| doi.org/10.3920/9789004730779_016 | |
| Released under the CC BY-NC-ND 4.0 (“Attribution-NonCommercial-NoDerivs 4.0 International”) Licence | |
| Organisation | Staff publications |
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van Ommen Kloeke, E., W. D. Kissling, J. Evans, Huijbers, C., J. Kamminga, & Schouten, G. (2025). Biodiversity at risk – what can we do to ‘bend the curve’?. In Moral design and green technology (pp. 233–251). doi:10.3920/9789004730779_016 |
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