D5.1 Strategy for establishing a European-wide consortium for the further development and deployment of image and sound recognition for European Animals and Plants

In less than a decade image and sound recognition models have become the most widely used tool for the identification of both plants and animals. Part of this development was made possible due to work done in work packages 3.1 (image) and 3.2 (sound) of the EU Horizon MAMBO project.

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Published
2026-08-20
DOI
https://doi.org/10.3897/arphapreprints.e212342
Primary Topic
Smart Agriculture and AI
Type
preprint
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D5.1 Strategy for establishing a European-wide consortium for the further development and deployment of image and sound recognition for European Animals and Plants

Vincent J. Kalkman
Smart Agriculture and AI
preprint

D5.1 Strategy for establishing a European-wide consortium for the further development and deployment of image and sound recognition for European Animals and Plants

Vincent J. Kalkman
preprint en

Abstract

In less than a decade image and sound recognition models have become the most widely used tool for the identification of both plants and animals. Part of this development was made possible due to work done in work packages 3.1 (image) and 3.2 (sound) of the EU Horizon MAMBO project.

Naturalis Biodiversity Center (NL)
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Smart Agriculture and AI
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D5.1 Strategy for establishing a European-wide consortium for the further development and deployment of image and sound recognition for European Animals and Plants — Vincent J. Kalkman · (2026) | TGRS Research Map | TGRS