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3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
by
Omasa, Kenji
, Nakabayashi, Kazushige
, Hosoi, Fumiki
in
3-D
/ canopy
/ crop
/ Data collection
/ Digitization
/ Imaging, Three-Dimensional - instrumentation
/ Lasers
/ leaf area density
/ leaf area index
/ Leaves
/ Light
/ Plant Leaves - anatomy & histology
/ polygon
/ portable scanning lidar
/ Sensors
/ Solanum lycopersicum - anatomy & histology
/ Surface Properties
2011
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3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
by
Omasa, Kenji
, Nakabayashi, Kazushige
, Hosoi, Fumiki
in
3-D
/ canopy
/ crop
/ Data collection
/ Digitization
/ Imaging, Three-Dimensional - instrumentation
/ Lasers
/ leaf area density
/ leaf area index
/ Leaves
/ Light
/ Plant Leaves - anatomy & histology
/ polygon
/ portable scanning lidar
/ Sensors
/ Solanum lycopersicum - anatomy & histology
/ Surface Properties
2011
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Do you wish to request the book?
3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
by
Omasa, Kenji
, Nakabayashi, Kazushige
, Hosoi, Fumiki
in
3-D
/ canopy
/ crop
/ Data collection
/ Digitization
/ Imaging, Three-Dimensional - instrumentation
/ Lasers
/ leaf area density
/ leaf area index
/ Leaves
/ Light
/ Plant Leaves - anatomy & histology
/ polygon
/ portable scanning lidar
/ Sensors
/ Solanum lycopersicum - anatomy & histology
/ Surface Properties
2011
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3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
Journal Article
3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
2011
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Overview
In the present study, an attempt was made to produce a precise 3D image of a tomato canopy using a portable high-resolution scanning lidar. The tomato canopy was scanned by the lidar from three positions surrounding it. Through the scanning, the point cloud data of the canopy were obtained and they were co-registered. Then, points corresponding to leaves were extracted and converted into polygon images. From the polygon images, leaf areas were accurately estimated with a mean absolute percent error of 4.6%. Vertical profile of leaf area density (LAD) and leaf area index (LAI) could be also estimated by summing up each leaf area derived from the polygon images. Leaf inclination angle could be also estimated from the 3-D polygon image. It was shown that leaf inclination angles had different values at each part of a leaf.
Publisher
MDPI AG,Molecular Diversity Preservation International (MDPI)
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