Quantifying nitrogen status of rice using low altitude UAV-mounted system and object-oriented segmentation methodology

Proceedings of the ASME Design Engineering Technical Conference

Volumn 3, Issue , 2009, Pages 603-609

  Zhu, Jinxia ^a   Wang, Ke ^a   Deng, Jinsong ^a   Harmon, Tom ^b  

^a Institute of Agricultural Remote Sensing and Information Application   (China)

^b Merced   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL CONTENTS; COLOR PARAMETER; CROP NITROGEN; CROP PRODUCTION; DIGITAL IMAGE; DIGITAL INFORMATION; FERTILIZER MANAGEMENT; GROUND BASED; GROUND BASED MEASUREMENT; HYPERSPECTRAL REFLECTANCE; LOW ALTITUDES; MODEL TESTING; NITROGEN APPLICATION RATES; NITROGEN DEFICIENCY; NITROGEN RATE; OBJECT-ORIENTED SEGMENTATION; PREDICTIVE TOOLS; SPATIAL AND TEMPORAL VARIATION; UAV SYSTEMS;

CHLOROPHYLL; CROPS; CULTIVATION; DESIGN; EMBEDDED SYSTEMS; GROUNDWATER; GROUNDWATER POLLUTION; IMAGE PROCESSING; NITROGEN; NITROGEN FERTILIZERS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; STRESS ANALYSIS; UNMANNED VEHICLES;

UNMANNED AERIAL VEHICLES (UAV);

EID: 82155185592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2009-87107     Document Type: Conference Paper

References (18)

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