Leveraging Image Analysis for High-Throughput Plant Phenotyping

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos

(2018) Xi Yin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

(2018) Mohd Shahrimie Mohd Asaari et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2018) Jordan Ubbens et al.   Plant Methods

Holistic and component plant phenotyping using temporal image sequence

(2018) Sruti Das Choudhury et al.   Plant Methods

Aerial Images and Convolutional Neural Network for Cotton Bloom Detection

(2018) Rui Xu et al.   Frontiers in Plant Science

In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR

(2018) Shangpeng Sun et al.   Frontiers in Plant Science

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting

(2018) Mario Valerio Giuffrida et al.   PLANT JOURNAL

Deep phenotyping: deep learning for temporal phenotype/genotype classification

(2018) Sarah Taghavi Namin et al.   Plant Methods

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Three-Dimensional Reconstruction of Soybean Canopies Using Multisource Imaging for Phenotyping Analysis

(2018) Haiou Guan et al.   Remote Sensing

A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging

(2018) Ali Moghimi et al.   Frontiers in Plant Science

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS

(2018) Yan Zhou et al.   PLANT PHYSIOLOGY

Approaches to three-dimensional reconstruction of plant shoot topology and geometry

(2017) Jonathon A. Gibbs et al.   FUNCTIONAL PLANT BIOLOGY

A novel 3D imaging system for strawberry phenotyping

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

A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform

(2017) Nicolas Brichet 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

In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

(2017) Shangpeng Sun et al.   Remote Sensing

Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction

(2017) Hanno Scharr et al.   Frontiers in Plant Science

Spectral Knowledge (SK-UTALCA): Software for Exploratory Analysis of High-Resolution Spectral Reflectance Data on Plant Breeding

(2017) Gustavo A. Lobos et al.   Frontiers in Plant Science

Editorial: Plant Phenotyping and Phenomics for Plant Breeding

(2017) Gustavo A. Lobos et al.   Frontiers in Plant Science

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

(2017) Yuzhen Lu et al.   Applied Sciences-Basel

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

(2017) Michael P. Pound et al.   GigaScience

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

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

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

(2016) Pedro Navarro et al.   SENSORS

Machine Learning for Plant Phenotyping Needs Image Processing

(2016) Sotirios A. Tsaftaris et al.   TRENDS IN PLANT SCIENCE

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

(2016) Mirwaes Wahabzada et al.   Scientific Reports

LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics?

(2015) Yi Lin   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

Growth Signatures of Rosette Plants from Time-Lapse Video

(2015) Babette Dellen et al.   IEEE-ACM Transactions on Computational Biology and 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

Multi-modality imagery database for plant phenotyping

(2015) Jeffrey A. Cruz et al.   MACHINE VISION AND APPLICATIONS

Advanced phenotyping and phenotype data analysis for the study of plant growth and development

(2015) Md. Matiur Rahaman et al.   Frontiers in Plant Science

Recent developments in fast spectroscopy for plant mineral analysis

(2015) Marie van Maarschalkerweerd et al.   Frontiers in Plant Science

Automatic Detection of Regions in Spinach Canopies Responding to Soil Moisture Deficit Using Combined Visible and Thermal Imagery

(2014) Shan-e-Ahmed Raza et al.   PLoS One

Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety

(2014) Hui Huang et al.   SENSORS

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

(2014) Stefan Paulus et al.   SENSORS

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Predictive ability of machine learning methods for massive crop yield prediction

(2014) Alberto Gonzalez-Sanchez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Diagnosing of rice nitrogen stress based on static scanning technology and image information extraction

(2014) L.S Chen et al.   Journal of Soil Science and Plant Nutrition

Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions

(2013) Yusaku Uga et al.   NATURE GENETICS

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

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

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

Recent advances in sensing plant diseases for precision crop protection

(2012) Anne-Katrin Mahlein et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis

(2012) Christoph Römer et al.   FUNCTIONAL PLANT BIOLOGY

Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops

(2012) A. P. Wasson et al.   JOURNAL OF EXPERIMENTAL BOTANY

Hyperspectral image analysis for water stress detection of apple trees

(2011) Yunseop Kim et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE