Fiche du document
7 octobre 2018
- handle: 10670/1.c1zqj5
- isbn: 978-1-4799-7061-2
- hal: hal-02737012
- doi: 10.1109/ICIP.2018.8451553
- PRODINRA: 458092
- WOS: 000455181503156
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1109/ICIP.2018.8451553
Mots-clés
3D leaf tracking plant monitoring time tracking labelling 3D plant phenotyping sunflower plants -bio]Sujets proches
Vegetable kingdom Plantae Plant kingdom Vegetation Wildlife FloraCiter ce document
William Gélard et al., « 3D leaf tracking for plant growth monitoring », Archive Ouverte d'INRAE, ID : 10.1109/ICIP.2018.8451553
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Résumé
This article presents a 3D approach in plant growth monitoring and deals with the tracking of leaves of sunflower plants. Our aim is to compute time-series of individual leaf area, under water stress and control conditions. These data will then be used by biologists to study the drought resistance of various sunflower species. Our method to track the leaves in 3D has been evaluated on a set of 132 point clouds obtained via classical structure-from-motion techniques and multi-view stereo software. These 3D acquisitions have been performed on 12 sunflower plants (6 water-stressed, 6 well-watered) during a period of one month (11 measurement dates per sunflower plant). This method gives promising results for both conditions (water-stressed and well-watered), for different species and is able to follow the growth of the plants, as well as to detect new leaf emergence and leaf decay.