How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools-Reference-Cited by-同舟云学术

How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools

Published:2020-09-11 Issue:2 Volume:1 Page:
ISSN:2688-8319
Container-title:Ecological Solutions and Evidence
language:en
Short-container-title:Ecological Solutions and Evidence

Author:

Bonnet Pierre¹²^ORCID,Joly Alexis³,Faton Jean‐Michel⁴,Brown Susan⁵,Kimiti David⁶,Deneu Benjamin²³^ORCID,Servajean Maximilien⁷⁸,Affouard Antoine²³,Lombardo Jean‐Christophe³,Mary Laura⁹,Vignau Christel⁹,Munoz François¹⁰

Affiliation:

1. CIRAD, UMR AMAP Montpellier Occitanie France

2. AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier Occitanie France

3. INRIA Sophia‐Antipolis ‐ ZENITH team LIRMM ‐ UMR 5506 ‐ CC 477 Montpellier Occitanie France

4. Réserve naturelle nationale des Ramières du Val de Drôme Allex France

5. Lewa House Pimbi Ltd. Isiolo Kenya

6. Lewa Wildlife Conservancy Isiolo Kenya

7. LIRMM UMR 5506, CNRS, University of Montpellier Montpellier Occitanie France

8. AMIS, Paule Valery University ‐ Montpellier 3 Montpellier Occitanie France

9. Tela Botanica Montpellier Occitanie France

10. Laboratoire d'Ecologie Alpine Université Grenoble Alpes Grenoble France

Funder

Agropolis Fondation

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2688-8319.12023

Reference33 articles.

1. Affouard A. Lombardo J.‐C. Goeau H. Bonnet P. &Joly A.(2017).Pl@ntnet app in the era of deep learning. Paper presented at the 5th International Conference on Learning Representations ICLR 2017 Toulon France April 24–26 2017 Workshop Track Proceedings publisher: OpenReview.net.

2. Tradeoffs and tools for data quality, privacy, transparency, and trust in citizen science

3. Species distribution modeling based on the automated identification of citizen observations

4. Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection

5. Opportunities and Risks for Citizen Science in the Age of Artificial Intelligence

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