Parcourir par Mots clés libres

Global patterns of tree wood density. Yang Hui, Wang Siyuan, Son Rackhun, lee Hoontaek, Benson Vitus, Zhang Weijie, Zhang Yahai, Zhang Yuzhen, Kattge Jens, Boenisch Gerhard, Schepaschenko Dmitry, Karaszewski Zbigniew, Stereńczak Krzysztof, Moreno-Martínez Álvaro, Nabais Cristina, Birnbaum Philippe, Vieilledent Ghislain, Weber Ulrich, Carvalhais Nuno. 2024. Global Change Biology, 30 (3):e17224, 13 p.

Characterization of rice yield based on biomass and SPAD-based leaf nitrogen for large genotype plots. Duque Andres F., Patino Diego, Colorado Julian D., Petro Eliel, Rebolledo Maria Camila, Mondragon Ivan F., Espinosa Natalia, Amezquita Nelson, Puentes Oscar D., Mendez Diego, Jaramillo-Botero Andres. 2023. Sensors, 23 (13), n.spéc. Sensors and Artificial Intelligence in Smart Agriculture:5917, 21 p.

Water desorption monitoring of cellulose pulps by NIR spectroscopy. Targino de Medeiros Dayane, Guedes Ramalho Fernanda Maria, Gomes Batista Felipe, Reis Prazeres Mascarenhas Adriano, Chaix Gilles, Gherardi Hein Paulo Ricardo. 2023. Industrial Crops and Products, 192:115989, 9 p.

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Ienco Dino, Gaetano Raffaele, Interdonato Roberto. 2023. Neurocomputing, 567:127031, 11 p.

A metadata approach to classify domain-specific documents for Event-based Surveillance Systems. Syed Mehtab Alam, Arsevska Elena, Roche Mathieu, Teissere Maguelonne. 2023. In : 2023 International Conference on Communication, Computing and Digital Systems (C-CODE 2023). IEEE. New-York : IEEE, 165-169. ISBN 979-8-3503-3240-7 International Conference on Communication, Computing and Digital Systems (C-CODE 2023), Islamabad, Pakistan, 17 Mai 2023/18 Mai 2023.

Foundations and state of play. Mitton Nathalie, Brossard Ludovic, Bouadi Tassadit, Garcia Frédérick, Gautron Romain, Hilgert Nadine, Ienco Dino, Largouët Christine, Lutton Evelyne, Masson Véronique, Martin-Clouaire Roger, Mugnier Marie-Laure, Neveu Pascal, Preux Philippe, Raynal Hélène, Rousset Catherine, Termier Alexandre, Bellon-Maurel Véronique. 2022. In : Agriculture and Digital Technology: getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems. Bellon-Maurel Véronique (ed.), Brossard Ludovic (ed.), Garcia Frédérick (ed.), Mitton Nathalie (ed.), Terrier Alexandre (ed.). Le Chesnay : INRIA-INRAE, 30-75. (White Book / INRIA, 6) ISBN 978-2-7261-1310-3

Monitoring complex integrated crop–livestock systems at regional scale in Brazil: A big earth Observation data approach. Kuchler Calvano Patrick, Simoes Margareth, Ferraz Rodrigo P.D., Arvor Damien, Oliveira de Almeida Machado Pedro Luiz, Rosa Marcos R., Gaetano Raffaele, Bégué Agnès. 2022. Remote Sensing, 14 (7), n.spéc. Advanced Machine Learning and Remote Sensing in Agriculture:1648, 21 p.

A divide-and-conquer approach for genomic prediction in rubber tree using machine learning. Hild Aono Alexandre, Francisco Felipe Roberto, Moura Souza Livia, De Souza Gonçalves Paulo, Scaloppi Junior Erivaldo José, Le Guen Vincent, Fritsche-Neto Roberto, Gorjanc Gregor, Gonçalves Quiles Marcos, Pereira de Souza Anete. 2022. Scientific Reports, 12:18023, 14 p.

gym-DSSAT: a crop model turned into a Reinforcement Learning environment. Gautron Romain, Padrón González Emilio José, Preux Philippe, Bigot Julien, Maillard Odalric-Ambrym, Emukpere David. 2022. Villeneuve d’Ascq : INRIA, 34 p. (INRIA Research Report, 9460)

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.