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.

Development and validation of near‐infrared spectroscopy procedures for prediction of cassava root dry matter and amylose contents in Ugandan cassava germplasm. Nuwamanya Ephraim, Wembabazi Enoch, Kanaabi Michael, Namakula Babirye Fatumah, Katungisa Arnold, Lyatumi Ivan, Esuma Williams, Alamu Emmanuel Oladeji, Dufour Dominique, Kawuki Robert, Davrieux Fabrice. 2023. Journal of the Science of Food and Agriculture, 8 p.