Advanced search
1 file | 1.16 MB

GPU-based maize plant analysis: accelerating CNN segmentation and voxel carving

Simon Donné (UGent) , Bart Goossens (UGent) , Stijn Dhondt (UGent) , Nathalie Wuyts (UGent) , Hiep Luong (UGent) , Dirk Inzé (UGent) and Wilfried Philips (UGent)
Author
Organization
Project
iMinds - BAHAMAS
Abstract
PHENOVISION is a high-throughput plant phenotyping system for crop plants in greenhouse conditions. A conveyor belt transports plants between automated irrigation stations and imaging cabins. The aim is to phenotype maize varieties grown under different conditions. To this end we model the plants in 3D and automate the measuring of the plants.
Keywords
GPU programming, machine learning, segmentation, voxel carving, phenotyping

Downloads

  • BAHAMAS GTC.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.16 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Donné, Simon, Bart Goossens, Stijn Dhondt, Nathalie Wuyts, Hiep Luong, Dirk Inzé, and Wilfried Philips. 2016. “GPU-based Maize Plant Analysis: Accelerating CNN Segmentation and Voxel Carving.” In NVIDIA European GPU Technology Conference.
APA
Donné, S., Goossens, B., Dhondt, S., Wuyts, N., Luong, H., Inzé, D., & Philips, W. (2016). GPU-based maize plant analysis: accelerating CNN segmentation and voxel carving. NVIDIA European GPU Technology Conference. Presented at the NVIDIA European GPU Technology Conference (GTC).
Vancouver
1.
Donné S, Goossens B, Dhondt S, Wuyts N, Luong H, Inzé D, et al. GPU-based maize plant analysis: accelerating CNN segmentation and voxel carving. NVIDIA European GPU Technology Conference. 2016.
MLA
Donné, Simon, Bart Goossens, Stijn Dhondt, et al. “GPU-based Maize Plant Analysis: Accelerating CNN Segmentation and Voxel Carving.” NVIDIA European GPU Technology Conference. 2016. Print.
@inproceedings{8132931,
  abstract     = {PHENOVISION is a high-throughput plant phenotyping system for crop plants in greenhouse conditions. A conveyor belt transports plants between automated irrigation stations and imaging cabins. The aim is to phenotype maize varieties grown under different conditions. To this end we model the plants in 3D and automate the measuring of the plants.},
  author       = {Donn{\'e}, Simon and Goossens, Bart and Dhondt, Stijn and Wuyts, Nathalie and Luong, Hiep and Inz{\'e}, Dirk and Philips, Wilfried},
  booktitle    = {NVIDIA European GPU Technology Conference},
  language     = {eng},
  location     = {Amsterdam, the Netherlands},
  title        = {GPU-based maize plant analysis: accelerating CNN segmentation and voxel carving},
  year         = {2016},
}