Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality

Journal article

Peer reviewed

Jan U.H. Eitel, David R Huggins, Troy S Magney and Lee A Vierling

Agricultural and Forest Meteorology, Vol.217, pp.46-60

2016

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url

http://dx.doi.org/10.1016/j.agrformet.2015.11.009 View

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Title: Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality
Creators: Jan U.H. Eitel - University of Idaho
David R Huggins
Troy S Magney - University of Idaho
Lee A Vierling - University of Idaho
Publication Details: Agricultural and Forest Meteorology, Vol.217, pp.46-60
Identifiers: 996631241701851
Academic Unit: Natural Resources and Society; Center for Research on Invasive Species; Idaho Experimental Partnership to Stimulate Competitive Research; Rangeland Center
Language: English
Resource Type: Journal article