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Résultats pour : "Réseau de neurones"

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Aller à 2023 | 2021 | 2020 | 2019 | 2018 | 2017

Nombre de documents : 10.

2023

VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Madec Simon, Irfan Kamran, Velumani Kaaviya, Baret Frédéric, David Etienne, Daubige Gaetan, Bernigaud Samatan Lucas, Serouart Mario, Smith Daniel, James Chrisbin, Camacho Fernando, Guo Wei, De Solan Benoit, Chapman Scott, Weiss Marie. 2023. Scientific Data, 10:302, 12 p.
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2021

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. Deneu Benjamin, Servajean Maximilien, Bonnet Pierre, Botella Christophe, Munoz François, Joly Alexis. 2021. PLoS Computational Biology, 17 (4):e1008856, 21 p.
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Identification and counting of sorghum panicles using artificial intelligence based drone field phenotyping. Mbaye Modou, Audebert Alain. 2021. Advances in Artificial Intelligence and Machine Learning, 1 (3) : 234-240.
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Multi-sensor land cover classification with sparsely annotated data based on Convolutional Neural Networks and Self-Distillation. Gbodjo Jean Eudes, Montet Didier, Ienco Dino, Gaetano Raffaele, Dupuy Stéphane. 2021. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15 p.
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Quantification du rôle des prédateurs généralistes dans la régulation du charançon du bananier grâce à de l'analyse d'images prises in situ. Tresson Paul. 2021. Montpellier : Montpellier SupAgro, 198 p. Thèse de doctorat : Ecologie des communautés : Montpellier SupAgro
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2020

Artificial neural networks to distinguish charcoal from Eucalyptus and native forests based on their mineral components. Guedes Ramalho Fernanda Maria, Santos Carvalho Geila, Gerardi Hein Paulo Ricardo, Napoli Alfredo, Wojcieszak Robert, Guimaraães Guilherme Luiz Roberto. 2020. Energy and Fuels, 34 (8) : 9599-9608.
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Attention-based recurrent neural network for plant disease classification. Lee Sue Han, Goeau Hervé, Bonnet Pierre, Joly Alexis. 2020. Frontiers in Plant Science, 11:601250, 8 p.
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2019

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras. Lorieul Titouan, Pearson Katelin D., Ellwood Elizabeth R., Goeau Hervé, Molino Jean-François, Sweeney Patrick W., Yost Jennifer M., Sachs Joel, Mata-Montero Erick, Nelson Gil, Soltis Pamela S., Bonnet Pierre, Joly Alexis. 2019. Applications in Plant Sciences, 7 (3), n.spéc. Emerging Frontiers in Phenological Research:e01233, 14 p.
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2018

Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR sentinel-1. Ho Tong Minh Dinh, Ienco Dino, Gaetano Raffaele, Lalande Nathalie, Ndikumana Emile, Osman Faycal, Maurel Pierre. 2018. IEEE Geoscience and Remote Sensing Letters, 15 (3) : 464-468.
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2017

Land cover classification via multitemporal spatial data by deep recurrent neural networks. Ienco Dino, Gaetano Raffaele, Dupaquier Claire, Maurel Pierre. 2017. IEEE Geoscience and Remote Sensing Letters, 14 (10) : 1685-1689.
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