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3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
Department of Agricultural Chemistry, Meiji University, 1-1-1, Higashi-mita, Tama-ku, Kawasaki-shi, Kanagawa 214-8571, Japan
* Author to whom correspondence should be addressed.
Received: 31 December 2010; in revised form: 31 January 2011 / Accepted: 2 February 2011 / Published: 15 February 2011
Abstract: 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.
Keywords: canopy; crop; polygon; portable scanning lidar; 3-D; leaf area density; leaf area index
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Cite This Article
MDPI and ACS Style
Hosoi, F.; Nakabayashi, K.; Omasa, K. 3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information. Sensors 2011, 11, 2166-2174.
Hosoi F, Nakabayashi K, Omasa K. 3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information. Sensors. 2011; 11(2):2166-2174.
Hosoi, Fumiki; Nakabayashi, Kazushige; Omasa, Kenji. 2011. "3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information." Sensors 11, no. 2: 2166-2174.