Viability prediction of Ricinus cummunis L. seeds using multispectral imaging.

Olesen, Merete Halkjær; Nikneshan, Pejman; Shrestha, Santosh; Tadayyon, Ali; Deleuran, Lise Christina; Boelt, Birte; Gislum, René

Olesen, Merete Halkjær; Nikneshan, Pejman; Shrestha, Santosh; Tadayyon, Ali; Deleuran, Lise Christina; Boelt, Birte; Gislum, René.

Afiliación

Olesen MH; Department of Agroecology, Science and Technology, Aarhus University, Slagelse 4200, Denmark. merete.olesen@agro.au.dk.
Nikneshan P; Department of Agronomy, Shahrekord University, Shahrekord 88176-53849, Chaharmahal Bakhtiyari, Iran. Nikneshan@stu.sku.ac.ir.
Shrestha S; Department of Agroecology, Science and Technology, Aarhus University, Slagelse 4200, Denmark. santosh.shrestha@agro.au.dk.
Tadayyon A; Department of Agronomy, Shahrekord University, Shahrekord 88176-53849, Chaharmahal Bakhtiyari, Iran. tadayyon.sku@gmail.com.
Deleuran LC; Department of Agroecology, Science and Technology, Aarhus University, Slagelse 4200, Denmark. Lise.deleuran@agro.au.dk.
Boelt B; Department of Agroecology, Science and Technology, Aarhus University, Slagelse 4200, Denmark. Birte.boelt@agro.au.dk.
Gislum R; Department of Agroecology, Science and Technology, Aarhus University, Slagelse 4200, Denmark. Rene.gislum@agro.au.dk.

Sensors (Basel) ; 15(2): 4592-604, 2015 Feb 17.

Article en En | MEDLINE | ID: mdl-25690554

Asunto(s)

Ricinus/fisiología; Semillas/fisiología; Análisis Espectral/métodos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ricinus / Semillas / Análisis Espectral Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2015 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Suiza

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