Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?

Autor: Lefort, Tanguy, Affouard, Antoine, Charlier, Benjamin, Lombardo, Jean-Christophe, Chouet, Mathias, Goëau, Hervé, Salmon, Joseph, Bonnet, Pierre, Joly, Alexis

Deep learning models for plant species identification rely on large annotated datasets. The PlantNet system enables global data collection by allowing users to upload and annotate plant observations, leading to noisy labels due to diverse user skills

Externí odkaz: http://arxiv.org/abs/2406.03356

WCSdb: A database of wild Coffea species

Autor: Guyot, Romain, Hamon, Perla, Couturon, Emmanuel, Raharimalala, Nathalie, Rakotomalala, Jean-Jacques, Lakkanna, Sreenath, Sabatier, Sylvie-Annabel, Affouard, Antoine, Bonnet, Pierre

Publikováno v: Database
28th Conference of Association for the Science and Information on Coffee-Books of abstracts

RATIONALE - Two coffee species are mainly cultivated: Arabica and Robusta. Beside these species, the 139 wild coffee species/taxa belong to the Coffea genus are largely unknown to coffee scientists although these species may be crucial for future cof

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2a419ee9b2e748d7e8f56ee246c0c8dc
http://agritrop.cirad.fr/597069/

Biodiversity Information Science and Standards 4: e58933 Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World Flora

Autor: Bonnet, Pierre, Champ, Julien, Goëau, Hervé, Stöter, Fabian-Robert, Deneu, Benjamin, Servajean, Maximilien, Affouard, Antoine, Lombardo, Jean-Christophe, Levchenko, Oleksandra, Gresse, Hugo, Joly, Alexis

Publikováno v: Biodiversity Information Science and Standards
Biodiversity Information Science and Standards, 2020, 4, ⟨10.3897/biss.4.58933⟩
Biodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2020, 4, ⟨10.3897/biss.4.58933⟩

International audience; Pl@ntNet is a scientific and citizen platform based on artificial intelligence techniques to help participants more easily identify plants with their smartphones. The identification of plant species is indeed an important step

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::88efa3ab21efd258ecdddf540e8007f0
https://hal.inrae.fr/hal-02973673/document

Customized e-floras: How to develop your own project on the Pl@ntNet platform.

Autor: Affouard, Antoine, Chouet, Mathias, Lombardo, Jean-Christophe, Gresse, Hugo, Goëau, Hervé, Lorieul, Titouan, Bonnet, Pierre, Joly, Alexis

Publikováno v: Biodiversity Information Science & Standards; 2021, p1-4, 4p

Potential and limits of automated plant identification based on visual data, feedbacks from the development of Pl@ntNet initiative

Autor: Bonnet, Pierre, Joly, Alexis, Goëau, Hervé, Lombardo, Jean-Christophe, Affouard, Antoine, Wang, Sen, Knaff, Rémi, Molino, Jean-François, Barthélémy, Daniel

Publikováno v: Botany 2017
Botany 2017, Jun 2017, Forth Worth, TX, United States., 2017
Botany 2017, Jun 2017, Forth Worth, TX, United States. 2017

International audience; Pl@ntNet is a free web and mobile platform dedicated to automated, image-based plant identification and to collaborative gathering of plant observations (http://identify.plantnet-project.org/). It relies on crowdsourcing appro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::38becbb2095971dfe68f8ccebffc41ca
https://hal.science/hal-01837383