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3D Imaging Systems for Agricultural Applications: Characterization of Crop and Root Phenotyping

3D Imaging Systems for Agricultural Applications: Characterization of Crop and Root Phenotyping
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Author(s): Frédéric Cointault (University of Burgundy, France), Simeng Han (University of Burgundy, France), Gilles Rabatel (IRSTEA, France), Sylvain Jay (IRSTEA, France), David Rousseau (CREATIS, France), Bastien Billiot (Roullier Company, France), Jean-Claude Simon (University of Burgundy, France)and Christophe Salon (University of Burgundy, France)
Copyright: 2017
Pages: 30
Source title: Biometrics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0983-7.ch026

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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.

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