PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

Machine vision assessment of mango orchard flowering

(2018) Zhenglin Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine Vision System for 3D Plant Phenotyping

(2018) Ayan Chaudhury et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A genome-wide association study using a Vietnamese landrace panel of rice (Oryza sativa) reveals new QTLs controlling panicle morphological traits

(2018) Kim Nhung TA et al.   BMC PLANT BIOLOGY

Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS

(2018) Yan Zhou et al.   PLANT PHYSIOLOGY

Transient Heat Stress During Early Seed Development Primes Germination and Seedling Establishment in Rice

(2018) Kevin Begcy et al.   Frontiers in Plant Science

A novel 3D imaging system for strawberry phenotyping

(2017) Joe Q. He et al.   Plant Methods

TIPS: a system for automated image-based phenotyping of maize tassels

(2017) Joseph L. Gage et al.   Plant Methods

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

(2017) Xiong Xiong et al.   Plant Methods

3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System

(2017) Dawei Li et al.   Remote Sensing

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

(2016) T. Duan et al.   JOURNAL OF EXPERIMENTAL BOTANY

Image analysis-based modelling for flower number estimation in grapevine

(2016) Borja Millan et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

(2016) Ryan F. Mccormick et al.   PLANT PHYSIOLOGY

Rice panicle plasticity in Near Isogenic Lines carrying a QTL for larger panicle is genotype and environment dependent

(2016) Dewi Erika Adriani et al.   Rice

Combining Image Analysis, Genome Wide Association Studies and Different Field Trials to Reveal Stable Genetic Regions Related to Panicle Architecture and the Number of Spikelets per Panicle in Rice

(2016) Maria C. Rebolledo et al.   Frontiers in Plant Science

MVE—An image-based reconstruction environment

(2015) Simon Fuhrmann et al.   COMPUTERS & GRAPHICS-UK

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

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

High night temperature induces contrasting responses for spikelet fertility, spikelet tissue temperature, flowering characteristics and grain quality in rice

(2015) Onoriode Coast et al.   FUNCTIONAL PLANT BIOLOGY

Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review

(2015) Jan F Humplík et al.   Plant Methods

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

(2015) Arturo Aquino et al.   SENSORS

High-Resolution Inflorescence Phenotyping Using a Novel Image-Analysis Pipeline, PANorama

(2014) S. Crowell et al.   PLANT PHYSIOLOGY

Rice Fertilization-Independent Endosperm1 Regulates Seed Size under Heat Stress by Controlling Early Endosperm Development

(2014) J. J. Folsom et al.   PLANT PHYSIOLOGY

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Future Scenarios for Plant Phenotyping

(2013) Fabio Fiorani et al.   Annual Review of Plant Biology

P-TRAP: a Panicle Trait Phenotyping tool

(2013) Faroq AL-Tam et al.   BMC PLANT BIOLOGY

Survey of contemporary trends in color image segmentation

(2013) Sreenath Rao Vantaram et al.   JOURNAL OF ELECTRONIC IMAGING

Yield Trends Are Insufficient to Double Global Crop Production by 2050

(2013) Deepak K. Ray et al.   PLoS One

HTPheno: An image analysis pipeline for high-throughput plant phenotyping

(2011) Anja Hartmann et al.   BMC BIOINFORMATICS

Automatic recognition vision system guided for apple harvesting robot

(2011) Wei Ji et al.   COMPUTERS & ELECTRICAL ENGINEERING

High-Performance SIFT Hardware Accelerator for Real-Time Image Feature Extraction

(2011) Feng-Cheng Huang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Solutions for a cultivated planet

(2011) Jonathan A. Foley et al.   NATURE

A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice

(2011) Lingfeng Duan et al.   Plant Methods

Accurate inference of shoot biomass from high-throughput images of cereal plants

(2011) Mahmood R Golzarian et al.   Plant Methods

High-throughput measurement of rice tillers using a conveyor equipped with x-ray computed tomography

(2011) Wanneng Yang et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

Rice seed quality development and temperature during late development and maturation

(2011) Richard H. Ellis   SEED SCIENCE RESEARCH

Analysis of rice panicle traits and detection of QTLs using an image analyzing method

(2010) Mayuko Ikeda et al.   BREEDING SCIENCE

Breeding Technologies to Increase Crop Production in a Changing World

(2010) M. Tester et al.   SCIENCE

Food Security: The Challenge of Feeding 9 Billion People

(2010) H. C. J. Godfray et al.   SCIENCE

High throughput phenotyping of root growth dynamics, lateral root formation, root architecture and root hair development enabled by PlaRoM

(2009) Nima Yazdanbakhsh et al.   FUNCTIONAL PLANT BIOLOGY

HYPOTrace: Image Analysis Software for Measuring Hypocotyl Growth and Shape Demonstrated on Arabidopsis Seedlings Undergoing Photomorphogenesis

(2009) L. Wang et al.   PLANT PHYSIOLOGY

Interactions of elevated [CO2] and night temperature on rice growth and yield

(2008) Weiguo Cheng et al.   AGRICULTURAL AND FOREST METEOROLOGY

LAMINA: a tool for rapid quantification of leaf size and shape parameters

(2008) Max Bylesjö et al.   BMC PLANT BIOLOGY