A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth

A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth

(2019) Gytis Bernotas et al.   GigaScience

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field

(2018) Lyndon Neal Smith et al.   COMPUTERS IN INDUSTRY

Photometric stereo for three-dimensional leaf venation extraction

(2018) Wenhao Zhang et al.   COMPUTERS IN INDUSTRY

Breeding to adapt agriculture to climate change: affordable phenotyping solutions

(2018) José L Araus et al.   CURRENT OPINION IN PLANT BIOLOGY

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum

(2018) Suresh Thapa et al.   SENSORS

Translating High-Throughput Phenotyping into Genetic Gain

(2018) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Leaf Movements of Indoor Plants Monitored by Terrestrial LiDAR

(2018) Mónica Herrero-Huerta et al.   Frontiers in Plant Science

Nutrient and drought stress: implications for phenology and biomass quality in miscanthus

(2018) Ricardo M F da Costa et al.   ANNALS OF BOTANY

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

(2017) Nicolas Virlet et al.   FUNCTIONAL PLANT BIOLOGY

Efficient in-field plant phenomics for row-crops with an autonomous ground vehicle

(2017) James Underwood et al.   Journal of Field Robotics

Molecular Profiles of Contrasting Shade Response Strategies in Wild Plants: Differential Control of Immunity and Shoot Elongation

(2017) Charlotte M.M. Gommers et al.   PLANT CELL

Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

(2017) Massimo Minervini et al.   PLANT JOURNAL

Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat

(2017) Ji Zhou et al.   Plant Methods

A high-throughput stereo-imaging system for quantifying rape leaf traits during the seedling stage

(2017) Xiong Xiong et al.   Plant Methods

A “Do-It-Yourself” phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants

(2017) Andrei Dobrescu et al.   Plant Methods

rosettR: protocol and software for seedling area and growth analysis

(2017) Filipa Tomé et al.   Plant Methods

Circadian, Carbon, and Light Control of Expansion Growth and Leaf Movement

(2017) Federico Apelt et al.   PLANT PHYSIOLOGY

Determining climate effects on US total agricultural productivity

(2017) Xin-Zhong Liang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Climate change is projected to outpace rates of niche change in grasses

(2016) F. Alice Cang et al.   Biology Letters

Genotypic variation in the accumulation of water-soluble carbohydrate in canola and its potential contribution to seed yield in different environments

(2016) Heping Zhang et al.   FIELD CROPS RESEARCH

A patch-based approach to 3D plant shoot phenotyping

(2016) Michael P. Pound et al.   MACHINE VISION AND APPLICATIONS

Leaf epinasty and auxin: A biochemical and molecular overview

(2016) Luisa M. Sandalio et al.   PLANT SCIENCE

3-D Imaging Systems for Agricultural Applications—A Review

(2016) Manuel Vázquez-Arellano et al.   SENSORS

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Seed yield of canola (Brassica napus L.) is determined primarily by biomass in a high-yielding environment

(2016) Heping Zhang et al.   Crop & Pasture Science

A Direct Comparison of Remote Sensing Approaches for High-Throughput Phenotyping in Plant Breeding

(2016) Maria Tattaris et al.   Frontiers in Plant Science

Molecular and genetic control of plant thermomorphogenesis

(2016) Marcel Quint et al.   Nature Plants

Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential

(2015) Stephen P. Long et al.   CELL

In-field crop row phenotyping from 3D modeling performed using Structure from Motion

(2015) Sylvain Jay et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

(2015) Sindhuja Sankaran et al.   EUROPEAN JOURNAL OF AGRONOMY

High-Speed Tracking with Kernelized Correlation Filters

(2015) Joao F. Henriques et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The tarani mutation alters surface curvature in Arabidopsis leaves by perturbing the patterns of surface expansion and cell division

(2015) Premananda Karidas et al.   JOURNAL OF EXPERIMENTAL BOTANY

Leaf segmentation in plant phenotyping: a collation study

(2015) Hanno Scharr et al.   MACHINE VISION AND APPLICATIONS

Contrasting growth responses in lamina and petiole during neighbor detection depend on differential auxin responsiveness rather than different auxin levels

(2015) Mieke de Wit et al.   NEW PHYTOLOGIST

Phytotyping4D: a light-field imaging system for non-invasive and accurate monitoring of spatio-temporal plant growth

(2015) Federico Apelt et al.   PLANT JOURNAL

Correction for Chew et al., Multiscale digitalArabidopsispredicts individual organ and whole-organism growth

(2015)   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Structured Light-Based 3D Reconstruction System for Plants

(2015) Thuy Nguyen et al.   SENSORS

High-precision laser scanning system for capturing 3D plant architecture and analysing growth of cereal plants

(2014) Stefan Paulus et al.   BIOSYSTEMS ENGINEERING

Visual Tracking: An Experimental Survey

(2014)   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Differentially Phased Leaf Growth and Movements in Arabidopsis Depend on Coordinated Circadian and Light Regulation

(2014) T. Dornbusch et al.   PLANT CELL

High-resolution time-resolved imaging ofin vitroArabidopsis rosette growth

(2014) Stijn Dhondt et al.   PLANT JOURNAL

Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images

(2014) M. P. Pound et al.   PLANT PHYSIOLOGY

Strengths and Limitations of Period Estimation Methods for Circadian Data

(2014) Tomasz Zielinski et al.   PLoS One

Limits of Active Laser Triangulation as an Instrument for High Precision Plant Imaging

(2014) Stefan Paulus et al.   SENSORS

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Europe's diminishing bread basket

(2014) Holger Meinke   Nature Climate Change

Shade avoidance: phytochrome signalling and other aboveground neighbour detection cues

(2013) Ronald Pierik et al.   JOURNAL OF EXPERIMENTAL BOTANY

Constraints and potentials of future irrigation water availability on agricultural production under climate change

(2013) Joshua Elliott et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

(2013) Gianfranco Bianco et al.   SENSORS

Review of stereo vision algorithms and their suitability for resource-limited systems

(2013) Beau Tippetts et al.   Journal of Real-Time Image Processing

High temperature exposure increases plant cooling capacity

(2012) Amanda J. Crawford et al.   CURRENT BIOLOGY

Measuring the diurnal pattern of leaf hyponasty and growth in Arabidopsis - a novel phenotyping approach using laser scanning

(2012) Tino Dornbusch et al.   FUNCTIONAL PLANT BIOLOGY

Metabolism and Growth inArabidopsisDepend on the Daytime Temperature but Are Temperature-Compensated against Cool Nights

(2012) Eva-Theresa Pyl et al.   PLANT CELL

OSCILLATOR: A system for analysis of diurnal leaf growth using infrared photography combined with wavelet transformation

(2012) Ralph Bours et al.   Plant Methods

PhenoPhyte: a flexible affordable method to quantify 2D phenotypes from imagery

(2012) Jason M Green et al.   Plant Methods

Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects

(2012) J. De Vylder et al.   PLANT PHYSIOLOGY

A genetic screen for leaf movement mutants identifies a potential role for AGAMOUS-LIKE 6 (AGL6) in circadian-clock control

(2011) Seung Kwan Yoo et al.   MOLECULES AND CELLS

Recent advances and trends in visual tracking: A review

(2011) Hanxuan Yang et al.   NEUROCOMPUTING

Arabidopsis growth under prolonged high temperature and water deficit: independent or interactive effects?

(2011) DENIS VILE et al.   PLANT CELL AND ENVIRONMENT

Phenomics – technologies to relieve the phenotyping bottleneck

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

Irrigation, tillage and mulching effects on soybean yield and water productivity in relation to soil texture

(2010) V.K. Arora et al.   AGRICULTURAL WATER MANAGEMENT

Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance inArabidopsis thalianaand other rosette plants

(2009) Marcus Jansen et al.   FUNCTIONAL PLANT BIOLOGY

Effect of Rubisco Activase Deficiency on the Temperature Response of CO2 Assimilation Rate and Rubisco Activation State: Insights from Transgenic Tobacco with Reduced Amounts of Rubisco Activase

(2009) W. Yamori et al.   PLANT PHYSIOLOGY

Hormone- and Light-Mediated Regulation of Heat-Induced Differential Petiole Growth in Arabidopsis

(2009) M. van Zanten et al.   PLANT PHYSIOLOGY

David and Goliath: what can the tiny weed Arabidopsis teach us to improve biomass production in crops?

(2008) Nathalie Gonzalez et al.   CURRENT OPINION IN PLANT BIOLOGY