| Autor: |
Casaer, J, Jansen, P, Roy, D, Stephens, PA, Blanco‐Aguiar, JA, Liefting, Y, Vicente, J, Smith, GC |
| Předmět: |
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| Zdroj: |
EFSA Supporting Publications; Aug2023, Vol. 20 Issue 8, p1-22, 22p |
| Abstrakt: |
ENETWILD consortium with the collaboration of the MammalNet project2 has promoted some informatic tools to improve the data collection of wildlife distribution and abundance: iMammalia; MammalWeb and Agouti. Here we update the activities in relation to (i) the new languages implemented; (ii) new functionalities, (iii) and the improvement and testing of the artificial intelligence module to identify species in Agouti. The iMammalia app is now available in 17 languages with at least two more to be added soon. MammalWeb is available in six languages with more to be added soon. Agouti is available in seven languages. iMammalia automates data transfer to the global database GBIF, and MammalWeb will consider a similar approach in the near future. Technical improvements were made to meet the needs of iMammalia as a carcass reporting app for wild boar, which will favour early awareness in case of ASF outbreak. As for density estimation through camera trapping, processing of big number of images by hand is tedious, and to facilitate the annotation process Agouti offers and has continuously improved automatic species recognition using Artificial Intelligence (AI). We summarize several topics for the further development of Agouti. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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