Systèmes imageurs 3D pour des applications agricoles : caractérisation de cultures et phénotypage de racines
| Autor: | Sylvain Jay, Gilles Rabatel, Bastien Billiot, Christophe Salon, Frédéric Cointault, David Rousseau, Jean-Claude Simon, Simeng Han |
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| Přispěvatelé: | Institut National de la Recherche Agronomique (INRA), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), ROULLIER COMPANY SAINT-MALO FRA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Irstea Publications, Migration |
| Rok vydání: | 2017 |
| Předmět: |
[SDE] Environmental Sciences
0106 biological sciences 2. Zero hunger Root (linguistics) Focus (computing) SHAPE FROM FOCUS Computer science Machine vision 3D reconstruction Image processing 04 agricultural and veterinary sciences PHENOTYPAGE 15. Life on land 01 natural sciences Data science Domain (software engineering) Agricultural science [SDE]Environmental Sciences 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Structure from motion STRUCTURE FROM MOTION Precision agriculture 010606 plant biology & botany |
| Zdroj: | Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C. Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C., IGI Global, pp.236-272, 2016 |
| DOI: | 10.4018/978-1-5225-0632-4.ch008 |
| Popis: | 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. resume 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. |
| Databáze: | OpenAIRE |
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