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Chapitre d'ouvrage

3D imaging systems for agricultural applications: characterization of crop and root phenotyping

Abstract : The development of the concepts of precision agriculture and viticulture since the last three decades has shown the need to use first 2D image acquisition techniques and dedicated image processing. More and more needs concern now 3D images and information. The main ideas of this chapter is thus to present some innovations of the 3D tools and methods in the agronomic domain. This chapter will particularly focus on two main subjects such as the 3D characterization of crop using Shape from Focus or Structure from Motion techniques and the 3D use for root phenotyping using rhizotron system. Results presented show that 3D information allows to better characterize crucial crop morphometric parameters using proxy-detection or phenotyping methods.
Type de document :
Chapitre d'ouvrage
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https://hal.inrae.fr/hal-02604540
Déposant : Migration Irstea Publications <>
Soumis le : samedi 16 mai 2020 - 09:31:15
Dernière modification le : jeudi 12 novembre 2020 - 12:04:04

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  • HAL Id : hal-02604540, version 1
  • IRSTEA : PUB00050506

Citation

Frédéric Cointault, Simeng Han, Gilles Rabatel, Sylvain Jay, D. Rousseau, et al.. 3D imaging systems for agricultural applications: characterization of crop and root phenotyping. Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C., IGI Global, pp.236-272, 2016. ⟨hal-02604540⟩

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