Your browser doesn't support javascript.
loading
Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis vinifera) Foliar Wastes.
Eftekhari, Maliheh; Yadollahi, Abbas; Ahmadi, Hamed; Shojaeiyan, Abdolali; Ayyari, Mahdi.
Afiliación
  • Eftekhari M; Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
  • Yadollahi A; Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
  • Ahmadi H; Bioscience and Agriculture Modeling Research Unit, College of Agriculture, Tarbiat Modares University, Tehran, Iran.
  • Shojaeiyan A; Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
  • Ayyari M; Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
Front Plant Sci ; 9: 837, 2018.
Article en En | MEDLINE | ID: mdl-29971086
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2018 Tipo del documento: Article País de afiliación: Irán
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2018 Tipo del documento: Article País de afiliación: Irán