On the use of depth camera for 3D phenotyping of entire plants

被引：184

作者：

Chene, Yann ^{[2
]}

Rousseau, David ^{[1
]}

Lucidarme, Philippe ^{[2
]}

Bertheloot, Jessica ^{[3
]}

Caffier, Valerie ^{[3
]}

Morel, Philippe ^{[3
]}

Belin, Etienne ^{[2
]}

Chapeau-Blondeau, Francois ^{[2
]}

机构：

[1] Univ Lyon 1, INSA Lyon, INSERM U630, Lab CREATIS,CNRS UMR 5220, F-69621 Villeurbanne, France

[2] Univ Angers, LISA, F-49000 Angers, France

[3] INRA, F-49071 Beaucouze, France

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2012年 / 82卷

关键词：

Depth camera; 3D measurements; Plants; High-throughput phenotyping; FUNCTIONAL-STRUCTURAL MODEL; NITROGEN ECONOMY; WHEAT CULMS; LIDAR; IMAGES; NEMA;

D O I：

10.1016/j.compag.2011.12.007

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

In this article, we assess the potential of depth imaging systems for 3D measurements in the context of plant phenotyping. We propose an original algorithm to segment depth images of plant from a single top-view. Various applications of biological interest involving for illustration rosebush, yucca and apple tree are then presented to demonstrate the practical interest of such imaging systems. In addition, the depth camera used here is very low cost and low weight. The present results therefore open interesting perspectives in the direction of high-throughput phenotyping in controlled environment or in field conditions. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：122 / 127

页数：6

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