Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield

Crop Science

Volumn 57, Issue 5, 2017, Pages 2517-2524

  Aguate, Fernando M ^a   Trachsel, Samuel ^b   González Pérez, Lorena ^c   Burgueño, Juan ^b   Crossa, José ^b   Balzarini, Mónica ^a   Gouache, David ^d   Bogard, Matthieu ^d   de los Campos, Gustavo ^e  

^a UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^b INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^c CIMMYT ^*  (Mexico)

^d ARVALIS Institut du vegetal   (France)

^e MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85026224294     PISSN: 0011183X     EISSN: 14350653     Source Type: Journal    
DOI: 10.2135/cropsci2017.01.0007     Document Type: Article

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