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Open AccessArticle

3-D Modeling of Tomato Canopies Using a High-Resolution Portable Scanning Lidar for Extracting Structural Information

1
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
2
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.
Sensors 2011, 11(2), 2166-2174; https://doi.org/10.3390/s110202166
Received: 31 December 2010 / Revised: 31 January 2011 / Accepted: 2 February 2011 / Published: 15 February 2011
(This article belongs to the Special Issue Sensors in Agriculture and Forestry)
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. View Full-Text
Keywords: canopy; crop; polygon; portable scanning lidar; 3-D; leaf area density; leaf area index canopy; crop; polygon; portable scanning lidar; 3-D; leaf area density; leaf area index
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.

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