Diagnosis of nitrogen status in winter oilseed rape (Brassica napus L.) using in-situ hyperspectral data and unmanned aerial vehicle (UAV) multispectral images

Computers and Electronics in Agriculture

Volumn 151, Issue , 2018, Pages 185-195

  Liu, Shishi ^a   Li, Lantao ^a   Gao, Wenhan ^a   Zhang, Yukun ^a   Liu, Yinuo ^a   Wang, Shanqin ^a   Lu, Jianwei ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

Image texture metrics; In situ hyperspectral data; Multispectral images; Nitrogen nutrition index (NNI); Unmanned aerial vehicle (UAV); Vegetation indices

Indexed keywords

ANTENNAS; FORESTRY; IMAGE SEGMENTATION; IMAGE TEXTURE; LINEAR REGRESSION; NITROGEN; NITROGEN FERTILIZERS; NUTRITION; OILSEEDS; PIXELS; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

HYPERSPECTRAL DATA; MULTISPECTRAL IMAGES; NITROGEN NUTRITION; NORMALIZED DIFFERENCE VEGETATION INDEX; PHOTOCHEMICAL REFLECTANCE INDEX; STEPWISE MULTIPLE LINEAR REGRESSION; THE REGION OF INTEREST (ROI); VEGETATION INDEX;

IMAGE ENHANCEMENT;

ACCURACY ASSESSMENT; DETECTION METHOD; EXPERIMENTAL STUDY; HERB; IMAGE ANALYSIS; IN SITU MEASUREMENT; NITROGEN; PIXEL; SPECTRAL ANALYSIS; UNMANNED VEHICLE; VEGETATION INDEX;

CHINA; HUBEI;

BRASSICA NAPUS;

EID: 85048569423     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2018.05.026     Document Type: Article

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