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

  • Authors:
  • Yann Ché/né/;David Rousseau;Philippe Lucidarme;Jessica Bertheloot;Valé/rie Caffier;Philippe Morel;í/tienne Belin;Franç/ois Chapeau-Blondeau

  • Affiliations:
  • Laboratoire d'Ingé/nierie des Systè/mes Automatisé/s (LISA), Université/ d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;Université/ de Lyon, Laboratoire CREATIS/ CNRS UMR 5220/ INSERM U630/ Université/ Lyon 1/ INSA-Lyon, 69621 Villeurbanne, France;Laboratoire d'Ingé/nierie des Systè/mes Automatisé/s (LISA), Université/ d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;INRA, 42 rue Georges Morel boulevard, 49071 Beaucouzé/, France;INRA, 42 rue Georges Morel boulevard, 49071 Beaucouzé/, France;INRA, 42 rue Georges Morel boulevard, 49071 Beaucouzé/, France;Laboratoire d'Ingé/nierie des Systè/mes Automatisé/s (LISA), Université/ d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;Laboratoire d'Ingé/nierie des Systè/mes Automatisé/s (LISA), Université/ d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2012

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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.