Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage

Agricultural and Forest Meteorology

Volumn 174-175, Issue , 2013, Pages 65-84

  Yu, Zhenghong ^a,b   Cao, Zhiguo ^a,b   Wu, Xi ^a,b   Bai, Xiaodong ^a,b   Qin, Yueming ^a,b   Zhuo, Wen ^a,b   Xiao, Yang ^a,b   Zhang, Xuefen ^c   Xue, Hongxi ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b National Key Laboratory of Science and Technology on Multispectral Information Processing   (China)

^c NATIONAL CLIMATE CENTER   (China)

Author keywords

Automatic detection technology; Computer vision; Emergence stage; Growth stage; Maize; Three leaf stage

Indexed keywords

ACADEMIC RESEARCH; ACCURACY ASSESSMENT; AGRONOMY; COMPUTER VISION; CROP PRODUCTION; CROP YIELD; DIGITAL IMAGE; ESTIMATION METHOD; GROWTH DETERMINATION; GROWTH RATE; IMAGE ANALYSIS; MAIZE; PROBABILITY;

CHINA; HENAN; ZHENGZHOU;

TAIA; ZEA MAYS;

EID: 84876316584     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2013.02.011     Document Type: Article

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