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Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.
Houngbo, Mahugnon Ezékiel; 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 O; Cornet, Denis.
Afiliação
  • Houngbo ME; CIRAD, UMR AGAP Institut, Montpellier, France.
  • Desfontaines L; UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
  • Diman JL; INRAE, UR 1321 ASTRO Agrosystèmes tropicaux, Centre de recherche Antilles-Guyane, Petit-Bourg, France.
  • Arnau G; INRAE, UE 0805 PEYI, Centre de recherche Antilles-Guyane, Petit-Bourg, France.
  • Mestres C; CIRAD, UMR AGAP Institut, Montpellier, France.
  • Davrieux F; UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
  • Rouan L; CIRAD, UMR Qualisud, Montpellier, France.
  • Beurier G; CIRAD, UMR Qualisud, Univ Montpellier, Institut Agro, Avignon Université, Université de La Réunion, Montpellier, France.
  • Marie-Magdeleine C; CIRAD, UMR AGAP Institut, Montpellier, France.
  • Meghar K; UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
  • Alamu EO; CIRAD, UMR AGAP Institut, Montpellier, France.
  • Otegbayo BO; UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
  • Cornet D; INRAE, UR 0143 URZ Unité de Recherches Zootechniques, Centre de recherche Antilles-Guyane, Petit-Bourg, France.
J Sci Food Agric ; 2023 Jul 03.
Article em En | MEDLINE | ID: mdl-37400424
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Sci Food Agric Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Sci Food Agric Ano de publicação: 2023 Tipo de documento: Article