Using ground-based spectral reflectance sensors and photography to estimate shoot N concentration and dry matter of potato

Computers and Electronics in Agriculture

Volumn 144, Issue , 2018, Pages 154-163

  Zhou, Zhenjiang ^a,b   Jabloun, Mohamed ^a   Plauborg, Finn ^a   Andersen, Mathias Neumann ^a  

^a AARHUS UNIVERSITY   (Denmark)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Amera image analysis; Drip irrigation; Ground coverage; Normalized vegetation index

Indexed keywords

INFRARED DEVICES; IRRIGATION; REFLECTION; VEGETATION;

AMERA IMAGE ANALYSE; DRIP IRRIGATION; DRY MATTERS; GROUND COVERAGE; GROUND COVERS; IMAGE-ANALYSIS; NEAR INFRARED; NORMALIZED VEGETATION INDEX; PERFORMANCE; VEGETATION INDEX;

CROPS;

AGRONOMY; CROP PLANT; DRIP IRRIGATION; DRY MATTER; GROUND COVER; IMAGE ANALYSIS; LEAF AREA INDEX; NDVI; NITROGEN; PHOTOGRAPHY; POTATO; SENSOR; SPECTRAL REFLECTANCE; VEGETATION COVER;

SOLANUM TUBEROSUM;

EID: 85037680931     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.12.005     Document Type: Article

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