4.5 Editorial Material

Special issue on computer vision and image analysis in plant phenotyping

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Article Computer Science, Artificial Intelligence

On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands

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Automated estimation of tiller number in wheat by ribbon detection

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Visual tracking for the recovery of multiple interacting plant root systems from X-ray CT images

Stefan Mairhofer et al.

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Article Computer Science, Artificial Intelligence

A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thaliana

Marco Augustin et al.

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Article Computer Science, Artificial Intelligence

Extracting complex lesion phenotypes in Zea mays

Derek Kelly et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping

Franck Golbach et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Finding local leaf vein patterns for legume characterization and classification

Monica G. Larese et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Flexible three-dimensional modeling of plants using low- resolution cameras and visual odometry

Thiago T. Santos et al.

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Article Computer Science, Artificial Intelligence

Multi-modality imagery database for plant phenotyping

Jeffrey A. Cruz et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Generation and application of hyperspectral 3D plant models: methods and challenges

Jan Behmann et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Leaf segmentation in plant phenotyping: a collation study

Hanno Scharr et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

A novel Computer-Aided Tree Species Identification method based on Burst Wind Segmentation of 3D bark textures

Alice Ahlem Othmani et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

An opinion on imaging challenges in phenotyping field crops

Derek Kelly et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

A patch-based approach to 3D plant shoot phenotyping

Michael P. Pound et al.

MACHINE VISION AND APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Finely-grained annotated datasets for image-based plant phenotyping

Massimo Minervini et al.

PATTERN RECOGNITION LETTERS (2016)

Editorial Material Engineering, Electrical & Electronic

Image Analysis: The New Bottleneck in Plant Phenotyping

Massimo Minervini et al.

IEEE SIGNAL PROCESSING MAGAZINE (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Surface Reconstruction of Plant Shoots from Multiple Views

Michael P. Pound et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)

Proceedings Paper Computer Science, Artificial Intelligence

3D Plant Modeling: Localization, Mapping and Segmentation for Plant Phenotyping Using a Single Hand-held Camera

Thiago Teixeira Santos et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Visual Object Tracking for the Extraction of Multiple Interacting Plant Root Systems

Stefan Mairhofer et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Hybrid Consensus Learning for Legume Species and Cultivars Classification

Monica G. Larese et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Image-Based Phenotyping of the Mature Arabidopsis Shoot System

Marco Augustin et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Generation and Application of Hyperspectral 3D Plant Models

Jan Behmann et al.

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV (2015)