Parcourir par Mots clés libres

EcoSysML: A metamodel for Socio-Ecological Systems (SES) integrating machine learning. Kane Cheikhou Akhmed, Diaw Samba, Ba Mandicou, Bah Alassane, Delay Etienne. 2025. In : Intelligent Systems and Applications : Proceedings of the 2025 Intelligent Systems Conference (IntelliSys 2025), Volume 1. Arai Kohei (ed.). Cham : Springer, 24-40. (Lecture Notes in Networks and Systems, 1553) Intelligent Systems conference (IntelliSys 2025). 11, Amsterdam, Pays-Bas, 28 Août 2025/29 Août 2025.

Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring. Fuster-Calvo Alexandre, Valentin Sarah, Tamayo William C., Gravel Dominique. 2025. PeerJ, 13:e18853, 22 p.

SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting. Jain Pallavi, Lenco Dino, Interdonato Roberto, Berchoux Tristan, Marcos Diego. 2025. In : 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, AZ, USA, February 26 - March 6, 2025. IEEE 2025, ISBN 979-8-3315-1083-1. IEEE. Piscataway : IEEE, 5656-5665. ISBN 979-8-3315-1083-1 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, États-Unis, 26 Février 2025/6 Mars 2025.

A comparison of optimization techniques for large-scale allocation of soybean crops. Chen Mathilde, Tonda Alberto, Katsirelos George, Makowski David. 2025. ACM Transactions on Evolutionary Learning and Optimization, 24 p.

A forecasting model for desert locust presence during recession period, using real-time satellite imagery. Marescot Lucile, Fernandez Élodie, Dridi Hichem, Benahi Ahmed Salem, Hamouny Mohamed Lemine, Maeno Koutaro Ould, Escorihuela Maria-José, Paolini Giovanni, Piou Cyril. 2025. Remote Sensing Applications: Society and Environment, 37:101497, 17 p.

AI-powered detection and quantification of post-harvest physiological deterioration (PPD) in cassava using YOLO foundation models and K-means clustering. Ayalde Daniela Gómez, Londoño Juan Camilo Giraldo, Mosquera Audberto Quiroga, Melendez Jorge Luis Luna, Gimode Winnie, Tran Thierry, Zhang Xiaofei, Selvaraj Michael Gomez. 2024. Plant Methods, 20 (1):178, 26 p.

Climate, altitude, yield, and varieties drive lodging in sugarcane: A random forest approach to predict risk levels on a tropical island. Christina Mathias, Heuclin Benjamin, Pilloni Raphael, Mellin Mathilde, Barau Laurent, Hoarau Jean-Yves, Dumont Thomas. 2024. European Journal of Agronomy, 161:127381, 10 p.

Color and grey-level co-occurrence matrix analysis for predicting sensory and biochemical traits in sweet potato and potato. Nantongo Judith Ssali, Serunkuma Edwin, Burgos Gabriela, Nakitto Mariam, Kitalikyawe Joseph, Mendes Thiago, Davrieux Fabrice, Ssali Reuben. 2024. International Journal of Food Science, 2024 (1):1350090, 10 p.

Deep learning-based land use and land cover changes detection from satellite imagery : a case study of the city of Richard Toll. Ba Mandicou, Thiam Pape Ibrahima, Delay Etienne, Ngom Charles Abdoulaye, Diop Idy, Bah Alassane. 2024. In : ICMVA '24: Proceedings of the 2024 7th International Conference on Machine Vision and Applications. SCIEI, SSS. New York : ACM, 60-68. ISBN 979-8-4007-1655-3 International Conference on Machine Vision and Applications (ICMVA 2024). 7, Singapore, Singapour, 12 Mars 2024/14 Mars 2024.

Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data. Kebede Getachew, Mudereri Bester Tawona, Abdel-Rahman Elfatih M., Mutanga Onisimo, Landmann Tobias, Odindi John, Motisi Natacha, Pinard Fabrice, Tonnang Henri E.Z.. 2024. Journal of Applied Remote Sensing, 18 (4), 17 p.

End-to-end multimodal 3D imaging and machine learning workflow for non-destructive phenotying of grapevine trunk internal structure. Fernandez Romain, Le Cunff Loïc, Merigeaud Samuel, Verdeil Jean-Luc, Perry Julie, Larignon Philippe, Spilmont Anne-Sophie, Chatelet Philippe, Cardoso Maida, Goze-Bac Christophe, Moisy Cédric. 2024. Scientific Reports, 14:5033, 14 p.

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.

Hierarchizing multi-scale environmental effects on agricultural pest population dynamics: A case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards. Caumette Cecile, Diatta Paterne, Piry Sylvain, Chapuis Marie-Pierre, Faye Emile, Sigrist Fabio, Martin Olivier, Papaïx Julien, Brévault Thierry, Berthier Karine. 2024. Peer Community Journal, 4:e65, 23 p.

Improving pearl millet yield estimation from UAV imagery in the semiarid agroforestry system of Senegal through textural indices and reflectance normalization. Diene Serigne Mansour, Diack Ibrahima, Audebert Alain, Roupsard Olivier, Leroux Louise, Diouf Abdoul Aziz, Mbaye Modou, Fernandez Romain, Diallo Moussa, Sarr Idrissa. 2024. IEEE Access, 12 : 132626-132643.

Integrating predictive process monitoring techniques in smart agriculture. Fioretto Simona, Ienco Dino, Interdonato Roberto, Masciari Elio. 2024. In : Foundations of intelligent systems: 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings. Appice Annalisa (ed.), Azzag Hanane (ed.), Hacid Mohand-Said (ed.), Hadjali Allel (ed.), Ras Zbigniew (ed.). Cham : Springer, 306-313. (Lecture Notes in Artificial Intelligence, 14670, 14670) ISBN 978-3-031-62699-9 International Symposium on Methodologies for Intelligent Systems (ISMIS 2024). 27, Poitiers, France, 17 Juin 2024/19 Juin 2024.

LifeCLEF 2024 Teaser: Challenges on species distribution prediction and identification. Joly Alexis, Picek Lukáš, Kahl Stefan, Goeau Hervé, Espitalier Vincent, Botella Christophe, Deneu Benjamin, Marcos Diego, Estopinan Joaquim, Leblanc César, Larcher Théo, Šulc Milan, Hrúz Marek, Servajean Maximilien, Matas Jiří, Glotin Hervé, Planqué Robert, Vellinga Willem-Pier, Klinck Holger, Denton Tom, Durso Andrew M., Eggel Ivan, Bonnet Pierre, Müller Henning. 2024. In : Advances in Information Retrieval. ECIR 2024. Goharian Nazli (ed.), Tonellotto Nicola (ed.), He Yulan (ed.), Lipani Aldo (ed.), McDonald Graham (ed.), Macdonald Craig (ed.), Ounis Iadh (ed.). Cham : Springer, 19-27. (Lecture Notes in Computer Science, 14613, 14613) ISBN 978-3-031-56072-9 European Conference on Information Retrieval (ECIR 2024). 46, Glasgow, Royaume-Uni, 24 Mars 2024/28 Mars 2024.

Machine learning-based techniques for land subsidence simulation in an urban area. Liu Jianxin, Liu Wenxiang, Allechy Fabrice Blanchard, Zheng Zhiwen, Liu Rong, Kouadio Kouao Laurent. 2024. Journal of Environmental Management, 352:120078, 17 p.

Multi-objective optimization for large-scale allocation of soybean crops. Chen Mathilde, Makowski David, Tonda Alberto. 2024. In : GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. Li Xiaodong (ed.), Handl Julia (ed.). SIVECO, ACM. New-York : ACM, 1174-1182. ISBN 979-8-4007-0494-9 GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australie, 14 Juillet 2024/18 Juillet 2024.

NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy. Vaillant Axel, Beurier Grégory, Cornet Denis, Rouan Lauriane, Vile Denis, Violle Cyrille, Vasseur François. 2024. BMC Plant Biology, 24:1100, 12 p.

Spatial and temporal predictions of mosquito potential breeding sites and densities: integration of satellite imagery, in-situ data, and process-based modeling. Teillet Claire, Devillers Rodolphe, Tran Annelise, Marti Renaud, Demarchi Marie, Catry Thibault, Rwagitinywa Joseph, Restrepo Johana, Dessay Nadine, Roux Emmanuel. 2024. In : ISPRS TC III Mid-term Symposium “Beyond the canopy: technologies and applications of remote sensing”. Polidori Laurent (ed.), Gomes Alessandra (ed.), Faure Jean-François (ed.). Göttingen : Copernicus, 539-545. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-3) ISPRS TC III Mid-term Symposium, Belém, Brésil, 4 Novembre 2024/8 Novembre 2024.

Utilisation du Machine Learning pour la cartographie de la répartition annuelle des espèces végétales sur le Sahel selon les facteurs environnementaux. Grimaj Meryem. 2024. Rabat : IAV Hassan II, 124 p. Mémoire d'ingénieur d'état : Agronomie. Ingénierie data science en agriculture : Institut agronomique et vétérinaire Hassan II

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.

Envisaging a global infrastructure to exploit the potential of digitised collections. Groom Quentin, Dillen Mahtias, Addink Wouter, Ariño Arturo H., Bölling Christian, Bonnet Pierre, Cecchi Lorenzo, Ellwood Elizabeth R., Figueira Rui, Gagnier Pierre-Yves, Grace Olwen, Güntsch Anton, Hardy Helen, Huybrechts Pieter, Hyam Roger, Joly Alexis, Kommineni Vamsi Krishna, Larridon Isabel, Livermore Laurence, Lopes Ricardo Jorge, Meeus Sofie, Miller Jeremy, Milleville Kenzo, Panda Renato, Pignal Marc, Poelen Jorrit, Ristevski Blagoj, Robertson Tim, Rufino Ana C., Santos Joaquim, Schermer Maarten, Scott Ben, Seltmann Katja Chantre, Teixeira Heliana, Trekels Maarten, Gaikwad Jitendra. 2023. Biodiversity Data Journal, 11:e109439, 29 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, Teisseire 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.

Can artificial intelligence help in the study of vegetative growth patterns from herbarium collections? An evaluation of the tropical flora of the French Guiana forest. Goeau Hervé, Lorieul Titouan, Heuret Patrick, Joly Alexis, Bonnet Pierre. 2022. Plants, 11 (4):530, 22 p.

Fallow ID: Leveraging Sentinel-2 multi-year time series for the characterization and mapping of fallow land in West Africa. Castro Alvarado Enzo, Gaetano Raffaele, Leroux Louise, Bégué Agnès. 2022. . ESA, DLR. Bonn : ESA, 3 p. Living Planet Symposium 2022 (LPS2022), Bonn, Allemagne, 23 Mai 2022/27 Mai 2022.

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.

Sentinel-2 satellite image time-series land cover classification with Bernstein copula approach. Tamborrino Cristiano, Interdonato Roberto, Teisseire Maguelonne. 2022. Remote Sensing, 14 (13):3080, 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.

LifeCLEF 2021 Teaser: Biodiversity identification and prediction challenges. Joly Alexis, Goeau Hervé, Kahl Stefan, Glotin Hervé, Cole Elijah, Deneu Benjamin, Servajean Maximilien, Lorieul Titouan, Vellinga Willem-Pier, Bonnet Pierre, Eggel Ivan, Müller Henning. 2021. In : Advances in Information Retrieval: 43rd European conference on IR research, ECIR 2021, virtual event, March 28-April 1, 2021, Proceedings, Part II. Hiemstra Djoerd (ed.), Moens Marie-Francine (ed.), Mothe Josiane (ed.), Perego Raffaele (ed.), Potthast Martin (ed.), Sebastiani Fabrizio (ed.). Cham : Springer, 601-607. (Lecture Notes in Computer Science, 12657, 12656) LifeCLEF 2021, s.l., Suisse, 28 Mars 2021/1 Avril 2021.

Estimation of nitrogen in rice crops from UAV-captured images. Colorado Julian D., Cera-Bornacelli Natalia, Caldas Juan S., Petro Eliel, Rebolledo Maria Camila, Cuellar David, Calderon Francisco, Mondragon Ivan F., Jaramillo-Botero Andres. 2020. Remote Sensing, 12 (20):3396, 31 p.

Forecasting severe grape downy mildew attacks using machine learning. Chen Mathilde, Brun François, Raynal Marc, Makowski David. 2020. PloS One, 15 (3):e0230254, 20 p.

Déploiement et mise en oeuvre d'un réseau de neurones pour la classification du contenu d'images de manguiers. Barthes Guilhem. 2017. s.l. : s.n., 17 p.