Monitoring rice nitrogen status using hyperspectral reflectance and artificial neural network

Environmental Science and Technology

Volumn 41, Issue 19, 2007, Pages 6770-6775

  Yi, Qiu Xiang ^a,b   Huang, Jing Feng ^a   Wang, Fu Min ^a,b   Wang, Xiu Zhen ^b,c   Liu, Zhan Yu ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b Key Laboratory of Agricultural Remote Sensing and Information System   (China)

^c Zhejiang Meteorological Institute   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONCENTRATION (PROCESS); ERROR ANALYSIS; GROUNDWATER POLLUTION; LINEAR REGRESSION; MATHEMATICAL MODELS; MEASUREMENT THEORY; NEURAL NETWORKS; REMOTE SENSING;

HYPERSPECTRAL REFLECTANCE ANALYSIS; HYPERSPECTRAL REFLECTANCE DATA; PRINCIPAL COMPONENTS;

NITROGEN FERTILIZERS;

GROUND WATER; NITROGEN;

CONCENTRATION (PROCESS); ERROR ANALYSIS; GROUNDWATER POLLUTION; LINEAR REGRESSION; MATHEMATICAL MODELS; MEASUREMENT THEORY; NEURAL NETWORKS; NITROGEN FERTILIZERS; REMOTE SENSING;

ARTIFICIAL NEURAL NETWORK; FERTILIZER APPLICATION; MONITORING; MULTIPLE REGRESSION; NITROGEN; RICE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL MONITORING; MODEL; PRINCIPAL COMPONENT ANALYSIS; REFLECTOMETRY; REMOTE SENSING; RICE; SOIL FERTILIZATION; WATER POLLUTION;

ENVIRONMENTAL MONITORING; NEURAL NETWORKS (COMPUTER); NITROGEN; ORYZA SATIVA; PLANT LEAVES; REGRESSION ANALYSIS;

EID: 35148879291     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es070144e     Document Type: Article

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