Time-series multispectral indices from unmanned aerial vehicle imagery reveal senescence rate in bread wheat

Remote Sensing

Volumn 10, Issue 6, 2018, Pages

  Hassan, Muhammad Adeel ^a   Yang, Mengjiao ^a,b   Rasheed, Awais ^a   Jin, Xiuliang ^c   Xia, Xianchun ^a   Xiao, Yonggui ^a   He, Zhonghu ^a  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b XINJIANG AGRICULTURAL UNIVERSITY   (China)

^c UAPV   (France)

Author keywords

Bread wheat; Senescence rate; SVIs; UAV; Yield stability

Indexed keywords

CHLOROPHYLL; COMPUTERIZED TOMOGRAPHY; CROPS; FOOD PRODUCTS; GRAIN (AGRICULTURAL PRODUCT); IRRIGATION; MOBILE ANTENNAS; PRINCIPAL COMPONENT ANALYSIS; VEGETATION;

ACCURATE PREDICTION; BREAD WHEAT; LIMITED IRRIGATIONS; MULTISPECTRAL INDICES; NORMALIZED DIFFERENCES; PRINCIPLE COMPONENT ANALYSIS; SVIS; YIELD STABILITY;

UNMANNED AERIAL VEHICLES (UAV);

EID: 85048967410     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10060809     Document Type: Article

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