Publications HAL de Florian, Teste

2025

Theses

titre
Forecasting agricultural commodity prices from satellite data satellite data using machine learning
auteur
Florian Teste
article
Global Changes. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASM003⟩
identifiant
tel-04975765
Resume_court
This thesis presents a novel methodological framework for forecasting the prices and yields of agric .....
typdoc
Theses
Accès au texte intégral et bibtex
https://theses.hal.science/tel-04975765/file/144151_TESTE_2025_archivage.pdf BibTex

2024

Journal articles

titre
Early forecasting of corn yield and price variations using satellite vegetation products
auteur
Florian Teste, David Makowski, Hassan Bazzi, Philippe Ciais
article
Computers and Electronics in Agriculture, 2024, 221, pp.108962. ⟨10.1016/j.compag.2024.108962⟩
identifiant
hal-04553908
typdoc
Journal articles
DOI
DOI : 10.1016/j.compag.2024.108962
audience
International
Accès au bibtex
BibTex
titre
Leveraging Satellite Data With Machine and Deep Learning Techniques for Corn Yield and Price Forecasting
auteur
Florian Teste, Hugo Gangloff, Mathilde Chen, Philippe Ciais, David Makowski
article
IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.1-16. ⟨10.1109/TGRS.2024.3448205⟩
identifiant
hal-04726240
typdoc
Journal articles
DOI
DOI : 10.1109/TGRS.2024.3448205
audience
International
Accès au bibtex
BibTex

2022

Journal articles

titre
Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks
auteur
Kamel Lahssini, Florian Teste, Karun Reuel Dayal, Sylvie Durrieu, Dino Ienco, Jean-Matthieu Monnet
article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15, pp.4337-4348. ⟨10.1109/JSTARS.2022.3175609⟩
identifiant
hal-03702643
Resume_court
Forest ecosystems play a fundamental role in natural balances and climate mechanisms through their c .....
typdoc
Journal articles
DOI
DOI : 10.1109/JSTARS.2022.3175609
audience
International
Accès au texte intégral et bibtex
https://hal.inrae.fr/hal-03702643/file/Combining_LiDAR_Metrics_and_Sentinel-2_Imagery_to_Estimate_Basal_Area_and_Wood_Volume_in_Complex_Forest_Environment_via_Neural_Networks.pdf BibTex