Parcourir par Mots clés libres

Jchemo: Chemometrics and machine learning on high-dimensional data with Julia. Lesnoff Matthieu. 2024. In : Résumés des communications présentées aux 25èmes rencontres HélioSPIR, Montpellier (France), 11-12 juin 2024. Bastianelli Denis (ed.), Gilles Chaix (ed.). HélioSPIR. Montpellier : Association HélioSPIR, Résumé, p. 36. Rencontres HélioSPIR. 25, Montpellier, France, 11 Juin 2024/12 Juin 2024.

Food security prediction from heterogeneous data combining machine and deep learning methods. Deleglise Hugo, Interdonato Roberto, Bégué Agnès, Maître d'Hôtel Elodie, Teisseire Maguelonne, Roche Mathieu. 2022. Expert Systems with Applications, 190:116189, 11 p.

A Perspective on plant phenomics: Coupling deep learning and near-infrared spectroscopy. Vasseur François, Cornet Denis, Beurier Grégory, Messier Julie, Rouan Lauriane, Bresson Justine, Ecarnot Martin, Stahl Mark, Heumos Simon, Gérard Marianne, Reijnen Hans, Tillard Pascal, Lacombe Benoit, Emanuel Amélie, Floret Justine, Estarague Aurélien, Przybylska Stefania, Sartori Kevin, Gillespie Lauren M., Baron Etienne, Kazakou Elena, Vile Denis, Violle Cyrille. 2022. Frontiers in Plant Science, 13:13:836488, 12 p.

Assessing the sensitivity of global maize price to regional productions using statistical and machine learning methods. Zelingher Rotem, Makowski David, Brunelle Thierry. 2021. Frontiers in Sustainable Food Systems, 5:655206, 11 p.

Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal. Gbodjo Yawogan Jean Eudes, Ienco Dino, Leroux Louise. 2021. International Journal of Remote Sensing, 42 (24) : 9277-9300.

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm. dos Santos Luciano Ana Cláudia, Araújo Picoli Michelle Cristina, Garbellini Duft Daniel, Vieira Rocha Jansle, Lima Verde Leal Manoel Regis, Le Maire Guerric. 2021. Computers and Electronics in Agriculture, 184:106063, 10 p.

High probability of yield gain through conservation agriculture in dry regions for major staple crops. Su Yang, Gabrielle Benoît, Beillouin Damien, Makowski David. 2021. Scientific Reports, 11:3344, 8 p.

Innovative measurements to drive sustainable agriculture: The agroecology case. Dumet Didier, Cousin Philippe, Husson Olivier, Rollet Martin, Levavasseur Vincent. 2021. Journal of Advanced Agricultural Technologies, 8 (2) : 60-66.

Optimal Thompson Sampling strategies for support-aware CVaR bandits. Baudry Dorian, Gautron Romain, Kaufmann Emilie, Maillard Odalric-Ambrym. 2021. In : Proceedings of Machine Learning Research. Meila Marina (ed.), Zhang Tong (ed.). Cambridge : PMLR, 716-726. (Proceedings of Machine Learning Research, 139) International Conference on Machine Learning. 38, s.l., 18 Juillet 2021/24 Juillet 2021.

Technology-enabled sustainable agriculture: The agroecology case. Cousin Philippe, Husson Olivier, Thiare Ousamane, Ndiaye Gora. 2021. In : IST-Africa 2021 Conference Proceedings (2 vols). Cunningham Miriam (ed.), Cunningham Paul (ed.). IEEE. New-York : IEEE, 337-344. ISBN 978-1-6654-4830-7 2021 IST-Africa Conference (IST-Africa 2021), s.l., Afrique du Sud, 10 Mai 2021/14 Mai 2021.

AI naturalists might hold the key to unlocking biodiversity data in social media imagery. August Tom A., Pescott Oliver L., Joly Alexis, Bonnet Pierre. 2020. Patterns, 1 (7):100116, 11 p.

Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches. Lasso Emmamnuel, Corrales David Camilo, Avelino Jacques, de Melo Virginio Filho Elias, Corrales Juan Carlos. 2020. Computers and Electronics in Agriculture, 176:105640, 11 p.

Landscape fragmentation in coffee agroecological subzones in central Kenya: A multiscale remote sensing approach. Mosomtai Gladys, Odindi John, Abdel-Rahman Elfatih M., Babin Régis, Pinard Fabrice, Mutanga Onisimo, Tonnang Henri E.Z., David Guillaume, Landmann Tobias. 2020. Journal of Applied Remote Sensing, 14 (4):044513, 20 p.

LifeCLEF 2020 teaser: Biodiversity identification and prediction challenges. Joly Alexis, Goeau Hervé, Kahl Stefan, Botella Christophe, Ruiz de Castañeda Rafael, Glotin Hervé, Cole Elijah, Champ Julien, Deneu Benjamin, Servajean Maximilien, Lorieul Titouan, Vellinga Willem-Pier, Stöter Fabian-Robert, Durso Andrew, Bonnet Pierre, Müller Henning. 2020. In : Advances in information retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II. Jose Joemon M. (ed.), Yilmaz Emine (ed.), Magalhães João (ed.), Castells Pablo (ed.), Ferro Nicola (ed.), Silva Mário J. (ed.), Martins Flávio (ed.). Cham : Springer, 542-549. (Lecture Notes in Computer Science, 12036, 12036) ISBN 978-3-030-45441-8 European Conference on IR Research (ECIR 2020). 42, Lisbonne, Portugal, 14 Avril 2020/17 Avril 2020.

Linking heterogeneous data for food security prediction. Deleglise Hugo, Bégué Agnès, Interdonato Roberto, Maître d'Hôtel Elodie, Roche Mathieu, Teisseire Maguelonne. 2020. In : ECML PKDD 2020 Workshops : Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, Septem. Koprinska Irena (ed.), Kamp Michael (ed.), Appice Annalisa (ed.), Loglisci Corrado (ed.), Antonie Luiza (ed.), Zimmermann Albrecht (ed.), Guidotti Riccardo (ed.), Ozgöbek Ozlem (ed.). Cham : Springer, 335-344. (Communications in Computer and Information Science, 1323) ISBN 978-3-030-65964-6 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020), Gand, Belgique, 14 Septembre 2020/18 Septembre 2020.

Linking heterogeneous data for strengthening food security systems. Deleglise Hugo, Interdonato Roberto, Bégué Agnès, Teisseire Maguelonne, Roche Mathieu, Maître d'Hôtel Elodie. 2020. . Elsevier, MUSE, Wageningen University. s.l. : Elsevier, 1 p. International Conference on Global Food Security. 4, 4 Décembre 2020/9 Décembre 2020.

Machine learning using digitized herbarium specimens to advance phenological research. Pearson Katelin D., Nelson Gil, Aronson Myla F.J., Bonnet Pierre, Brenskelle Laura, Davis Charles C., Denny Ellen G., Ellwood Elizabeth R., Goeau Hervé, Heberling J. Mason, Joly Alexis, Lorieul Titouan, Mazer Susan J., Meineke Emily K., Stucky Brian J., Sweeney Patrick W., White Alexander E., Soltis Pamela S.. 2020. BioScience, 70 (7) : 610-620.

Biodiversity information retrieval through large scale content-based identification: a long-term evaluation. Joly Alexis, Goeau Hervé, Glotin Hervé, Spampinato Concetto, Bonnet Pierre, Vellinga Willem-Pier, Lombardo Jean-Christophe, Planqué Robert, Palazzo Simone, Müller Henning. 2019. In : Information retrieval evaluation in a changing world: lessons learned from 20 years of CLEF. Ferro Nicola (ed.), Peters Carol (ed.). Cham : Springer, 389-413. (The Information Retrieval Series, 41, 41) ISBN 978-3-030-22947-4

Factors affecting the dynamics of frosty pod rot in the main cocoa areas of Santander State, Colombia. Jaimes Yeirme, Ribeyre Fabienne, Gonzalez Carolina, Rojas Jairo, Furtado Edson L., Cilas Christian. 2019. Plant Disease, 103 (7) : 1665-1673.

GECKO is a genetic algorithm to classify and explore high throughput sequencing data. Thomas Aubin, Barriere sylvain, Broseus Lucile, Brooke Julie, Lorenzi Claudio, Villemin Jean-Philippe, Beurier Grégory, Sabatier Robert, Reynes Christelle, Mancheron Alban, Ritchie William. 2019. Communications Biology, 2:222, 8 p.

LifeCLEF 2019: Biodiversity identification and prediction challenges. Joly Alexis, Goeau Hervé, Botella Christophe, Kahl Stefan, Poupard Pascal, Servajean Maximilien, Glotin Hervé, Bonnet Pierre, Vellinga Willem-Pier, Planqué Robert, Schlüter Jan, Stöter Fabian-Robert, Müller Henning. 2019. In : Advances in information retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part II. Azzopardi Leif (ed.), Stein Benno (ed.), Fuhr Nobert (ed.), Mayr Philipp (ed.), Hauff Claudia (ed.), Hiemstra Djoerd (ed.). Cham : Springer, 275-282. (Lecture Notes in Computer Science, 11438, 11438) ISBN 978-3-030-15718-0 European Conference on IR Research (ECIR 2019). 41, Cologne, Allemagne, 14 Septembre 2019/18 Septembre 2019.

A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform. Brichet Nicolas, Fournier Christian, Turc Olivier, Strauss Olivier, Artzet Simon, Pradal Christophe, Welcker Claude, Tardieu François, Cabrera-Bosquet Llorenç. 2017. Plant Methods, 13:96, 12 p.

Methods for sugarcane harvest detection using polarimetric SAR. Portnoi Mickaël. 2016. Stellenbosch : Stellenbosch University, 129 p. Thesis MSc : Geo-informatics : Stellenbosch University