Parcourir par Mots clés libres

Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy. Houngbo Mahugnon Ezekiel, Desfontaines Lucienne, Diman Jean-Louis, Arnau Gemma, Mestres Christian, Davrieux Fabrice, Rouan Lauriane, Beurier Grégory, Marie-Magdeleine Carine, Meghar Karima, Alamu Emmanuel Oladeji, Otegbayo Bolanle Omolara, Cornet Denis. 2024. Journal of the Science of Food and Agriculture, 104 (8), n.spéc. Tropical roots, tubers and bananas: New breeding tools and methods to meet consumer preferences : 4915-4921.

Predicting quality, texture and chemical content of yam (Dioscorea alata L.) tubers using near infrared spectroscopy. Ehounou Adou Emmanuel, Cornet Denis, Desfontaines Lucienne, Marie-Magdeleine Carine, Maledon Erick, Nudol Elie, Beurier Grégory, Rouan Lauriane, Brat Pierre, Lechaudel Mathieu, Noûs Camille, N'Guetta Assanvo Simon-Pierre, Kouakou Amani Michel, Arnau Gemma. 2021. Journal of Near Infrared Spectroscopy, 29 (3) : 128-139.

Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots. Champ Julien, Mora-Fallas Adán, Goeau Hervé, Mata-Montero Erick, Bonnet Pierre, Joly Alexis. 2020. Applications in Plant Sciences, 8 (7), n.spéc. Machine Learning in Plant Biology: From Genomics to Field Studies:e11373, 10 p.

CORIGAN: Assessing multiple species and interactions within images. Tresson Paul, Tixier Philippe, Puech William, Bagny-Beilhe Leïla, Roudine Sacha, Pagès Christine, Carval Dominique. 2019. Methods in Ecology and Evolution, 10 (11) : 1888-1893.

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.

How do deep convolutional SDM trained on satellite images unravel vegetation ecology? Deneu Benjamin, Joly Alexis, Bonnet Pierre, Servajean Maximilien, Munoz François. 2021. In : Pattern recognition. ICPR International Workshops and Challenges. Virtual event, January 10–15, 2021, Proceedings, Part VI. Del Bimbo Alberto (ed.), Cucchiara Rita (ed.), Sclaroff Stan (ed.), Farinella Giovanni Maria (ed.), Mei Tao (ed.), Bertini Marco (ed.), Escalante Hugo Jair (ed.), Vezzani Roberto (ed.). Cham : Springer, 148-158. (Lecture Notes in Computer Science, 12666) ISBN 978-3-030-68779-3 International Conference on Pattern Recognition (ICPR 2021). 25, Milan, Italie, 10 Janvier 2021/15 Janvier 2021.

Feasability of bad-good genotypes screening using NIRS. High-throughput phenotyping protocols (HTPP), WP3. Cornet Denis, Dardenne Pierre (collab.), Davrieux Fabrice (collab.), Alamu Emmanuel Oladeji (collab.). 2021. Montpellier : RTBfoods Project-CIRAD, 8 p.