Potential of UAV-based active sensing for monitoring rice leaf nitrogen status

Frontiers in Plant Science

Volumn 871, Issue , 2018, Pages

  Li, Songyang ^a   Ding, Xingzhong ^a   Kuang, Qianliang ^a   Ata UI Karim, Syed Tahir ^b   Cheng, Tao ^a   Liu, Xiaojun ^a   Tian, Yongchao ^a   Zhu, Yan ^a   Cao, Weixing ^a   Cao, Qiang ^a  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Active canopy sensor; RapidSCAN; Red edge; Sensing distance evaluation; Ultra low level airborne

Indexed keywords

ANTENNAS; INFRARED DEVICES; NITROGEN; REGRESSION ANALYSIS; VEGETATION;

AKAIKE INFORMATION CRITERION; NEAR INFRARED WAVEBANDS; PREDICTIVE MODELS; RAPIDSCAN; RED EDGE; RICE (ORYZA SATIVA L.); SENSING DISTANCE EVALUATION; ULTRA LOW-LEVEL AIRBORNE;

UNMANNED AERIAL VEHICLES (UAV);

EID: 85058790024     PISSN: None     EISSN: 1664462X     Source Type: Journal    
DOI: 10.3389/fpls.2018.01834     Document Type: Article

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