Using an active-optical sensor to develop an optimal NDVI dynamic model for high-yield rice production (Yangtze, China)

Sensors (Switzerland)

Volumn 17, Issue 4, 2017, Pages

  Liu, Xiaojun ^a   Ferguson, Richard B ^b   Zheng, Hengbiao ^a   Cao, Qiang ^a   Tian, Yongchao ^a   Cao, Weixing ^a   Zhu, Yan ^a  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

High yield; Model; NDVI; Rice; Sensor

Indexed keywords

CROPS; CULTIVATION; MODELS; PLANTS (BOTANY); POPULATION STATISTICS; SENSORS; VEGETATION;

ACTIVE OPTICAL SENSORS; GROWING DEGREE DAYS; HIGH YIELD; NDVI; NORMALIZED DIFFERENCE VEGETATION INDEX; POSITIVE CORRELATIONS; RICE; STANDARD DEVIATION;

DYNAMIC MODELS;

NITROGEN;

CHINA; ORYZA; PLANT LEAF;

CHINA; NITROGEN; ORYZA; PLANT LEAVES;

EID: 85016141752     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17040672     Document Type: Article

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