Rapport Année : 2026

Multi-criteria and multi-stage environmental study of Pl@ntnet service for the year 2024

Résumé

In this study, we focus our investigation on Pl@ntNet, a citizen science platform, which re- lies on Artificial Intelligence (AI) models to identify plant species. Pl@ntNet provides a large-scale infrastructure supporting millions of users in over 200 countries. At this stage of deployment, and with years of experience developing the platform, Pl@ntNet is committed to understanding the environmental impacts of its identification service and contributing to the search for reduction opportunities. Our investigations assess the associated environmental impacts of Pl@ntNet for the year 2024. We based our approach on multi-criteria LCA, considering multiple impact type and the different life-cycle phases.

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Dates et versions

hal-05448455 , version 1 (08-01-2026)
hal-05448455 , version 2 (04-03-2026)

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  • HAL Id : hal-05448455 , version 2

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Adrien Berthelot, Tiago da Silva Barros, Laurent Lefèvre, Anne-Laure Ligozat, Emeline Pegon. Multi-criteria and multi-stage environmental study of Pl@ntnet service for the year 2024. Inria Lyon. 2026. ⟨hal-05448455v2⟩
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