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Poster Communications Year : 2021

Pl@ntNet, ten years of automatic plant identification and monitoring

Joaquim Estopinan
Titouan Lorieul
François Munoz

Abstract

AI-based models for IUCN conservation status prediction (see Fig 1) Digitized Herbarium analysis (phenology, traits, identification) Plant disease recognition Agro-ecological robots (weeds detection and identification, mixed seeds) Biodiversity data quality and uncertainty New AI-based services for citizen science (cos4cloud project)
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Dates and versions

hal-03343235 , version 1 (14-09-2021)

Identifiers

  • HAL Id : hal-03343235 , version 1

Cite

Alexis Joly, Antoine Affouard, Mathias Chouet, Benjamin Deneu, Joaquim Estopinan, et al.. Pl@ntNet, ten years of automatic plant identification and monitoring. IUCN - Congrès mondial de la nature, Sep 2021, Marseille, France. . ⟨hal-03343235⟩
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