Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

(2015) Noah Fahlgren et al.   CURRENT OPINION IN PLANT BIOLOGY

From image processing to computer vision: plant imaging grows up

(2015) Hannah Dee et al.   FUNCTIONAL PLANT BIOLOGY

Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color space

(2015) Pedro J. Navarro et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Structured Light-Based 3D Reconstruction System for Plants

(2015) Thuy Nguyen et al.   SENSORS

High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines

(2014) Nora Honsdorf et al.   PLoS One

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Image analysis is driving a renaissance in growth measurement

(2013) Edgar P Spalding et al.   CURRENT OPINION IN PLANT BIOLOGY

Phenoscope: an automated large-scale phenotyping platform offering high spatial homogeneity

(2013) Sébastien Tisné et al.   PLANT JOURNAL

Cell to whole-plant phenotyping: the best is yet to come

(2013) Stijn Dhondt et al.   TRENDS IN PLANT SCIENCE

Support Vector Machines for crop/weeds identification in maize fields

(2012) J.M. Guerrero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Development of a Configurable Growth Chamber with a Computer Vision System to Study Circadian Rhythm in Plants

(2012) Pedro Navarro et al.   SENSORS

Algorithms in nature: the convergence of systems biology and computational thinking

(2011) S. Navlakha et al.   Molecular Systems Biology

The ELF4–ELF3–LUX complex links the circadian clock to diurnal control of hypocotyl growth

(2011) Dmitri A. Nusinow et al.   NATURE

Light inputs shape the Arabidopsis circadian system

(2011) Bénédicte Wenden et al.   PLANT JOURNAL

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

A computer vision approach for weeds identification through Support Vector Machines

(2010) Alberto Tellaeche et al.   APPLIED SOFT COMPUTING

F-Box Proteins FKF1 and LKP2 Act in Concert with ZEITLUPE to Control Arabidopsis Clock Progression

(2010) A. Baudry et al.   PLANT CELL

Plant development goes like clockwork

(2010) Amaury de Montaigu et al.   TRENDS IN GENETICS

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

Improved base calling for the Illumina Genome Analyzer using machine learning strategies

(2009) Martin Kircher et al.   GENOME BIOLOGY