Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach

Precision Agriculture

Volumn 19, Issue 1, 2018, Pages 93-114

  Roth, Lukas ^a,b   Streit, Bernhard ^a  

^a BERN UNIVERSITY OF APPLIED SCIENCES   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Biomass; Cover crop; Plant height; Precision agriculture; UAS

Indexed keywords

BIOMASS; CANOPY REFLECTANCE; COLOR; COVER CROP; NDVI; PERFORMANCE ASSESSMENT; PHOTOGRAMMETRY; PHOTOGRAPHY; REMOTELY OPERATED VEHICLE; STAND STRUCTURE;

EID: 85011292282     PISSN: 13852256     EISSN: 15731618     Source Type: Journal    
DOI: 10.1007/s11119-017-9501-1     Document Type: Article

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