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

by: Yann Chéné, David Rousseau, Philippe Lucidarme, Jessica Bertheloot, Valérie Caffier, Philippe Morel, Étienne Belin, François Chapeau-Blondeau
Computers and Electronics in Agriculture, Vol. 82 (March 2012), pp. 122-127, doi:10.1016/j.compag.2011.12.007  Key: citeulike:10315599

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Abstract

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. ⺠The potentialities of depth imaging for 3D measurements of plants is demonstrated. ⺠An automated procedure is introduced to perform the segmentation of the leaves. ⺠This is realized without the need of shape priors on the leaves. ⺠This is obtained from single view acquisition with a low-cost depth camera.


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