A novel 3D imaging system for strawberry phenotyping

An experimental validation of genomic selection in octoploid strawberry

(2017) Salvador A Gezan et al.   Horticulture Research

Front Cover

(2016)   IEEE SENSORS JOURNAL

Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System

(2016) Yu Zhang et al.   SENSORS

Field phenotyping of grapevine growth using dense stereo reconstruction

(2015) Maria Klodt et al.   BMC BIOINFORMATICS

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

(2015) Franck Golbach et al.   MACHINE VISION AND APPLICATIONS

3D Laser Triangulation for Plant Phenotyping in Challenging Environments

(2015) Katrine Kjaer et al.   SENSORS

Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level

(2015) Johann Rose et al.   SENSORS

Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping

(2014) Stefan Paulus et al.   SENSORS

Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping

(2013) Stefan Paulus et al.   BMC BIOINFORMATICS

On the use of depth camera for 3D phenotyping of entire plants

(2012) Yann Chéné et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Topographic structure from motion: a new development in photogrammetric measurement

(2012) Mark A. Fonstad et al.   EARTH SURFACE PROCESSES AND LANDFORMS

‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

(2012) M.J. Westoby et al.   GEOMORPHOLOGY

Colour measurements by computer vision for food quality control – A review

(2012) Di Wu et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Automated strawberry grading system based on image processing

(2009) Xu Liming et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Quantitative evaluation of Tarocco sweet orange fruit shape using optoelectronic elliptic Fourier based analysis

(2009) Corrado Costa et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure

(2008) Sarah J. Dixon et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Colour vision system evaluation of bicolour fruit: A case study with ‘B74’ mango

(2008) S.P. Kang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY