Citrus yield prediction using deep learning techniques: A combination of field and satellite data

Autor: Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ismail Kassou, François Bourzeix, Ouiam Lahlou, Loubna El Mansouri, Yasmina Imani

Publikováno v: Journal of Open Innovation: Technology, Market and Complexity, Vol 9, Iss 2, Pp 100075- (2023)

The goal of this paper is to develop a deep learning model for predicting citrus yield. The data used consists of two sources: (1) field data that includes information on fertilization and phytosanitary treatment products, water quantities used for i

Externí odkaz: https://doaj.org/article/348f98371ecb4c83ab5551f20d723b71

Impact of multidomain preventive strategies on functional brain connectivity in older adults with cognitive complaint: Subset from the Montpellier center of the ancillary MAPT-MRI study

Autor: Lisa Perus, Jean-François Mangin, Jérémy Deverdun, Laure-Anne Gutierrez, Emmanuelle Gourieux, Clara Fischer, Liesjet E. H. Van Dokkum, Clara Manesco, Germain Busto, Sophie Guyonnet, Bruno Vellas, Audrey Gabelle, Emmanuelle Le Bars, The MAPT/DSA group, Isabelle Carrié, Lauréne Brigitte, Catherine Faisant, Françoise Lala, Julien Delrieu, Hélène Villars, Emeline Combrouze, Carole Badufle, Audrey Zueras, Sandrine Andrieu, Christelle Cantet, Christophe Morin, Gabor Abellan Van Kan, Charlotte Dupuy, Yves Rolland, Céline Caillaud, Pierre-Jean Ousset, Sherry Willis, Sylvie Belleville, Brigitte Gilbert, Francine Fontaine, Jean-François Dartigues, Isabelle Marcet, Fleur Delva, Alexandra Foubert, Sandrine Cerda, Marie-Noëlle-Cuffi, Corinne Costes, Olivier Rouaud, Patrick Manckoundia, Valérie Quipourt, Sophie Marilier, Evelyne Franon, Lawrence Bories, Marie-Laure Pader, Marie-France Basset, Bruno Lapoujade, Valérie Faure, Michael Li Yung Tong, Christine Malick-Loiseau, Evelyne Cazaban-Campistron, Françoise Desclaux, Colette Blatge, Thierry Dantoine, Cécile Laubarie-Mouret, Isabelle Saulnier, Jean-Pierre Clément, Marie-Agnès Picat, Laurence Bernard-Bourzeix, Stéphanie Willebois, Iléana Désormais, Noëlle Cardinaud, Marc Bonnefoy, Pierre Livet, Pascale Rebaudet, Claire Gédéon, Catherine Burdet, Flavien Terracol, Alain Pesce, Stéphanie Roth, Sylvie Chaillou, Sandrine Louchart, Kristel Sudres, Nicolas Lebrun, Nadège Barro-Belaygues, Jacques Touchon, Karim Bennys, Aurélia Romano, Lynda Touati, Cécilia Marelli, Cécile Pays, Philippe Robert, Franck Le Duff, Claire Gervais, Sébastien Gonfrier, Yannick Gasnier, Serge Bordes, Danièle Begorre, Christian Carpuat, Khaled Khales, Jean-François Lefebvre, Samira Misbah El Idrissi, Pierre Skolil, Jean-Pierre Salles, Carole Dufouil, Stéphane Lehéricy, Marie Chupin, Ali Bouhayia, Michèle Allard, Frédéric Ricolfi, Dominique Dubois, Marie Paule Bonceour Martel, François Cotton, Alain Bonafé, Stéphane Chanalet, Françoise Hugon, Fabrice Bonneville, Christophe Cognard, François Chollet, Pierre Payoux, Thierry Voisin, Sophie Peiffer, Anne Hitzel, Michel Zanca, Jacques Monteil, Jacques Darcourt, Laurent Molinier, Hélène Derumeaux, Nadège Costa, Bertrand Perret, Claire Vinel, Sylvie Caspar-Bauguil, Pascale Olivier-Abbal, Nicola Coley

Publikováno v: Frontiers in Aging Neuroscience, Vol 14 (2023)

IntroductionThe impact of multi-domain preventive interventions on older adults, in particular on those with higher risk to develop Alzheimer's disease (AD), could be beneficial, as it may delay cognitive decline. However, the precise mechanism of su

Externí odkaz: https://doaj.org/article/a5c8adebe5d745dea0463b7995f1e7e2

Multiple Hypothesis Detection and Tracking Using Deep Learning for Video Traffic Surveillance

Autor: Hamd Ait Abdelali, Hatim Derrouz, Yahya Zennayi, Rachid Oulad Haj Thami, Francois Bourzeix

Publikováno v: IEEE Access, Vol 9, Pp 164282-164291 (2021)

Moroccan Intelligent Transport System is the first Moroccan system that uses the latest advances in computer vision, machine learning and deep learning techniques to manage Moroccan traffic and road violations. In this paper, we propose a fully autom

Externí odkaz: https://doaj.org/article/27829886cb6f4e17b0bf817425ce5d0d

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Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard

Autor: Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ouiam Lahlou, Ismail Kassou, François Bourzeix, Loubna El Mansouri, Yasmina Imani

Publikováno v: Informatics, Vol 9, Iss 4, p 80 (2022)

The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted

Externí odkaz: https://doaj.org/article/c6faa3195ca64067a6d82614c5bdbac3