Efficient in-field plant phenomics for row-crops with an autonomous ground vehicle

Journal of Field Robotics

Volumn 34, Issue 6, 2017, Pages 1061-1083

  Underwood, James ^a   Wendel, Alexander ^a   Schofield, Brooke ^b   McMurray, Larn ^b   Kimber, Rohan ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b SOUTH AUSTRALIAN RESEARCH AND DEVELOPMENT INSTITUTE   (Australia)

Author keywords

agriculture; hyperspectral and lidar sensing; plant phenomics; row crop phenotyping; terrestrial robotics

Indexed keywords

AGRICULTURE; CROPS; DATA ACQUISITION; DATA HANDLING; FORESTRY; GROUND VEHICLES;

AUTONOMOUS GROUND VEHICLES; DATA POST PROCESSING; LIDAR SENSING; PHENOTYPING; PHYSICAL PERFORMANCE; PLANT CHARACTERISTICS; PLANT PHENOMICS; UNMANNED GROUND VEHICLES;

PLANT SHUTDOWNS;

EID: 85019743693     PISSN: 15564959     EISSN: 15564967     Source Type: Journal    
DOI: 10.1002/rob.21728     Document Type: Article

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