Shadow effect on multi-spectral image for detection of nitrogen deficiency in corn

Computers and Electronics in Agriculture

Volumn 83, Issue , 2012, Pages 52-57

  Noh, H ^a   Zhang, Q ^b  

^a Chungbuk National University   (South Korea)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Multi spectral image; Nitrogen deficiency; Reflectance; Shadow; SPAD

Indexed keywords

APPLICATION METHOD; CORN CANOPY; GROUND BASED; IMAGE ANALYSIS METHOD; INVERSE CORRELATION; MULTI-SPECTRAL; MULTI-SPECTRAL IMAGE ANALYSIS; MULTISPECTRAL IMAGES; NITROGEN DEFICIENCY; RED CHANNELS; SHADOW; SHADOW EFFECTS; SITE-SPECIFIC; SPAD; SPAD READINGS; STRONG CORRELATION; VEGETATION INDEX; WEATHER CONDITIONS; YIELD POTENTIAL;

IMAGE ANALYSIS; REFLECTION;

NITROGEN;

AGRICULTURAL TECHNOLOGY; CALIBRATION; CANOPY REFLECTANCE; CROP YIELD; IMAGE ANALYSIS; MAIZE; MULTISPECTRAL IMAGE; NITROGEN; NUTRITIONAL STATUS; SHADING; SPECTRAL REFLECTANCE; VEGETATION INDEX;

ZEA MAYS;

EID: 84862793029     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.01.014     Document Type: Article

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