Your browser doesn't support javascript.
loading
Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.
Harteveld, Dalphy O C; Grant, Michael R; Pscheidt, Jay W; Peever, Tobin L.
Afiliación
  • Harteveld DOC; First and fourth authors: Department of Plant Pathology, Washington State University, Northwestern Research and Extension Center, 16650 State Route 536, Mount Vernon 98273; second author: School of Computer Science & Engineering, University of Washington, Box 352350, Seattle 98195; and third aut
  • Grant MR; First and fourth authors: Department of Plant Pathology, Washington State University, Northwestern Research and Extension Center, 16650 State Route 536, Mount Vernon 98273; second author: School of Computer Science & Engineering, University of Washington, Box 352350, Seattle 98195; and third aut
  • Pscheidt JW; First and fourth authors: Department of Plant Pathology, Washington State University, Northwestern Research and Extension Center, 16650 State Route 536, Mount Vernon 98273; second author: School of Computer Science & Engineering, University of Washington, Box 352350, Seattle 98195; and third aut
  • Peever TL; First and fourth authors: Department of Plant Pathology, Washington State University, Northwestern Research and Extension Center, 16650 State Route 536, Mount Vernon 98273; second author: School of Computer Science & Engineering, University of Washington, Box 352350, Seattle 98195; and third aut
Phytopathology ; 107(11): 1364-1371, 2017 11.
Article en En | MEDLINE | ID: mdl-28696170
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ascomicetos / Esporas Fúngicas / Arándanos Azules (Planta) / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phytopathology Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ascomicetos / Esporas Fúngicas / Arándanos Azules (Planta) / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phytopathology Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos