3D imaging systems for agricultural applications - Agropolis Accéder directement au contenu
Chapitre D'ouvrage Année : 2017

3D imaging systems for agricultural applications

Résumé

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. résumé du livre : Sensor technologies play a large part in modern life as they are present in security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services. Developing and Applying Optoelectronics in Machine Vision evaluates emergent research and theoretical concepts in scanning devices and 3D reconstruction technologies being used to measure their environment. Examining the development of the utilization of machine vision practices and research, optoelectronic devices, and sensor technologies, this book is ideally suited for academics, researchers, students, engineers, and technology developers.
Fichier non déposé

Dates et versions

hal-01605252 , version 1 (02-10-2017)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

Citer

Frédéric Cointault, Simeng Han, Gilles Rabatel, Sylvain Jay, David Rousseau, et al.. 3D imaging systems for agricultural applications. Developing and applying optoelectronics in machine vision, IGI Global, 344 p., 2017, Advances in Computational Intelligence and Robotics (ACIR), 2327-0411 ISBN13: 9781522506324|ISBN10: 1522506322. ⟨10.4018/978-1-5225-0632-4.ch008⟩. ⟨hal-01605252⟩
224 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More