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Joshua Chopin
Joshua Chopin
Research Associate, University of South Australia
Dirección de correo verificada de unisa.edu.au
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Año
Detection and analysis of wheat spikes using convolutional neural networks
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
Plant Methods 14, 1-13, 2018
1592018
Quantitative estimation of wheat phenotyping traits using ground and aerial imagery
Z Khan, J Chopin, J Cai, VR Eichi, S Haefele, SJ Miklavcic
Remote Sensing 10 (6), 950, 2018
362018
RootAnalyzer: a cross-section image analysis tool for automated characterization of root cells and tissues
J Chopin, H Laga, CY Huang, S Heuer, SJ Miklavcic
PloS one 10 (9), e0137655, 2015
322015
Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images
J Cai, P Kumar, J Chopin, SJ Miklavcic
PloS one 13 (5), e0196671, 2018
292018
A hybrid approach for improving image segmentation: application to phenotyping of wheat leaves
J Chopin, H Laga, SJ Miklavcic
PloS one 11 (12), e0168496, 2016
172016
Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination
J Chopin, P Kumar, SJ Miklavcic
Plant Methods 14 (1), 1-15, 2018
162018
A new method for accurate, high-throughput volume estimation from three 2D projective images
J Chopin, H Laga, SJ Miklavcic
International Journal of Food Properties 20 (10), 2344-2357, 2017
152017
The influence of object shape on the convergence of active contour models for image segmentation
J Chopin, H Laga, SJ Miklavcic
The Computer Journal 59 (5), 603-615, 2016
72016
Selection of parameters in active contours for the phenotypic analysis of plants
J Chopina, SJ Miklavcic, H Lagaa
Proc. 20th Int. Congr. Modelling Simulation, 510-516, 2013
42013
Detection and analysis of wheat spikes using Convolutional Neural Networks (vol 14, 100, 2018)
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
PLANT METHODS 15, 2019
2019
Correction to: Detection and analysis of wheat spikes using Convolutional Neural Networks
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
Plant methods 15 (1), Article number: 27, 2019
2019
New methods and algorithms for image-based plant phenotyping
J Chopin
The University of South Australia, 2016
2016
Selection of parameters in active contour models for automated plant phenotypic analysis
J Chopin, SJ Miklavcic, H Laga
2013
Detection and Analysis of Wheat Spikes using Convolutional Neural Networks Additional File 2: CNN for Spike Detection
MM Hasan, JP Chopin, H Laga, SJ Miklavcic, R Faster, ...
A Recipe for Accurate, High-throughput Volume Estimation from Three 2D Projective Images
J Chopin
Academic Press, 0
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Artículos 1–15