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. 2023. Journal of the Science of Food and Agriculture, 7 p.

La spectrométrie dans le proche infra-rouge pour évaluer la valeur alimentaire des fourrages. Barotin Charlène, Bonnal Laurent, Andueza D., Maudemain S., Jost J., Caillat H., Julien Lionel, Juanes Xavier, Lesnoff Matthieu, Assouma Mohamed Habibou, Picard F., Fumat N., El Radi H., Barre P.. 2021. Fourrages (247) : 41-49.

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.

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.

Modeling mass loss of biomass by NIR-spectrometry during the torrefaction process. Devos Perrine, Commandre Jean-Michel, Brancheriau Loïc, Candelier Kévin, Rousset Patrick. 2020. International Journal of Energy Research, 44 (12), n.spéc. Sustainable Energy and Green Technologies : 9787-9797.