# NUM-DATA – PEPR FORESTT – Partage, accessibilité et services d'exploitation des données des socio-écosystèmes forestiers tempérés et tropicaux.
## Focus sur l'Intelligence Artificielle

Sophie Fortuno, Christian Pichot, Richard Moreno, Paul Tresson, Fabrice Bénédet

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To cite this version:

Sophie Fortuno, Christian Pichot, Richard Moreno, Paul Tresson, Fabrice Bénédet. NUM-DATA – PEPR FORESTT – Partage, accessibilité et services d'exploitation des données des socio-écosystèmes forestiers tempérés et tropicaux. Focus sur l'Intelligence Artificielle. Journées scientifiques du PEPR FORESTT 2024 - Lancement du programme de recherche PEPR-FORESTT, PEPR FORESTT, Sep 2024, Bordeaux, France. 1 p. hal-05488299

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Submitted on 6 Feb 2026

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Launch of the Forest Resilience Research Program (FORESTT)

Centre des Congrès de la Cité Mondiale, 18 and 19 September 2024

https://www.pepr-forestt.org/evenements/evenements-passes/lancement-scientifique-forestt

# NUM-DATA - PEPR FORESTT - Sharing, accessibility and data exploitation services for temperate and tropical forest socio-ecosystems. Artificial Intelligence focus

Sophie Fortuno¹, ², ³, Christian Pichot⁴, ⁵, ⁶, Richard Moreno⁷, Paul Tresson⁸, ⁹, Fabrice Bénédet¹⁰, ², ³

1. UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

2. Cirad-ES - Département Environnements et Sociétés

3. Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement

4. INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

5. ECODIV - Département écologie et biodiversité des milieux forestiers, prairiaux et aquatiques

6. URFM - Ecologie des Forêts Méditerranéennes

7. Data Terra - Unité Mixte Data Terra

8. UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations

9. IRD (Occitanie) - Institut de Recherche pour le Développement (IRD en Occitanie)

10. UPR Forêts et Sociétés - Forêts et Sociétés

## Abstract

NUM-DATA is one of five targeted projects under PEPR FORESTT, an interdisciplinary french research programme on the socio-ecological transition of forest systems in temperate and tropical zones. The NUM-DATA targeted project, led by CIRAD and INRAE in partnership with IRD and AgroParisTech, aims to bring together the scientific community around digital issues and open science, while maximising the impact of Artificial Intelligence (AI) on forest resilience. NUM-DATA is organised around five areas : governance, FAIR practices, data sharing, data science, and digital commons. The expected results include community guidelines for FAIR data, capacity building in partnership with french national research infrastructures and upstream and downstream digital partners, results and feedback from projects carried out in partnership with other projects in the programme, and the networking of experts on digital themes. The first part presents an overview of Artificial Intelligence, provided by Data Terra, the french national research infrastructure dedicated to Earth observation data. The second part of the presentation introduces AI in ecology, particularly Deep Learning, which is used to analyse satellite data (environmental monitoring, agriculture, etc.), but encounters limitations : the 'black box' effect, data costs, bias, and ethical issues. Challenges include often insufficient or unbalanced data sets and the need to adapt models to global changes (climate, invasive species). NUM-DATA promotes hybrid solutions and approaches to digital and ecological issues, combining technology, collaboration and ethics to respond to the current environmental challenges facing forest socio-ecosystems.

**Keywords** : socio-ecosystems, artificial intelligence, FAIR data, digital and computer science, resilience, biodiversity, tropical forest, temperate forest, forest, FAIR practices