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

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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https://hal.inrae.fr/hal-03343235
Contributor : Yannick Brohard <>
Submitted on : Tuesday, September 14, 2021 - 9:39:34 AM
Last modification on : Wednesday, September 15, 2021 - 3:36:11 AM

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  • HAL Id : hal-03343235, version 1

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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, IUCN, Sep 2021, Marseille, France. ⟨hal-03343235⟩

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