Combining UAV‐RGB high‐throughput field phenotyping and genome‐wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress

Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives

(2020) Wanneng Yang et al.   Molecular Plant

Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: performance and influencing factors

(2020) Jian Zhang et al.   PRECISION AGRICULTURE

High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed

(2020) Haitao Li et al.   PLANT BIOTECHNOLOGY JOURNAL

Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection

(2020) Jian Zhang et al.   Remote Sensing

Phenomics‐based GWAS analysis reveals the genetic architecture for drought resistance in cotton

(2020) Baoqi Li et al.   PLANT BIOTECHNOLOGY JOURNAL

A Comprehensive Analysis of Deep Regression

(2020) Stephane Lathuiliere et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping

(2020) Arti Singh et al.   TRENDS IN PLANT SCIENCE

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

(2019) Yiannis Ampatzidis et al.   Remote Sensing

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Strong temporal dynamics of QTL action on plant growth progression revealed through high‐throughput phenotyping in canola

(2019) Dominic Knoch et al.   PLANT BIOTECHNOLOGY JOURNAL

Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

(2019) Alan Bauer et al.   Horticulture Research

Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping

(2018) Frederic Baret et al.   JOURNAL OF EXPERIMENTAL BOTANY

Genome-Wide Association Studies of Image Traits Reveal Genetic Architecture of Drought Resistance in Rice

(2018) Zilong Guo et al.   Molecular Plant

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions

(2018) Lingfeng Duan et al.   Frontiers in Plant Science

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

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

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

(2017) Nicolas Virlet et al.   FUNCTIONAL PLANT BIOLOGY

Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment

(2017) M.R. James et al.   GEOMORPHOLOGY

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

Drought effect on plant biomass allocation: A meta-analysis

(2017) Anwar Eziz et al.   Ecology and Evolution

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang 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

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang et al.   Computational Intelligence and Neuroscience

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

(2017) Michael P. Pound et al.   GigaScience

Next generation breeding

(2016) Delfina Barabaschi et al.   PLANT SCIENCE

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

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

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

LeasyScan: a novel concept combining 3D imaging and lysimetry for high-throughput phenotyping of traits controlling plant water budget

(2015) Vincent Vadez et al.   JOURNAL OF EXPERIMENTAL BOTANY

General mechanisms of drought response and their application in drought resistance improvement in plants

(2014) Yujie Fang et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Cloning and characterization of the drought-resistance OsRCI2-5 gene in rice (Oryza sativa L.)

(2014) L. Li et al.   GENETICS AND MOLECULAR RESEARCH

RiceVarMap: a comprehensive database of rice genomic variations

(2014) Hu Zhao et al.   NUCLEIC ACIDS RESEARCH

Overexpression of the rice basic leucine zipper transcription factor OsbZIP12 confers drought tolerance to rice and makes seedlings hypersensitive to ABA

(2014) Joungsu Joo et al.   Plant Biotechnology Reports

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice

(2014) Wanneng Yang et al.   Nature Communications

qDTY12.1: a locus with a consistent effect on grain yield under drought in rice

(2013) Krishna Kumar Mishra et al.   BMC GENETICS

OsRMC, a negative regulator of salt stress response in rice, is regulated by two AP2/ERF transcription factors

(2013) Tânia S. Serra et al.   PLANT MOLECULAR BIOLOGY

Genome-Wide Association Mapping of Root Traits in a Japonica Rice Panel

(2013) Brigitte Courtois et al.   PLoS One

Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes in wheat

(2013) D. Gómez-Candón et al.   PRECISION AGRICULTURE

Field high-throughput phenotyping: the new crop breeding frontier

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

Global warming and changes in drought

(2013) Kevin E. Trenberth et al.   Nature Climate Change

The SNAC1-targeted gene OsSRO1c modulates stomatal closure and oxidative stress tolerance by regulating hydrogen peroxide in rice

(2012) Jun You et al.   JOURNAL OF EXPERIMENTAL BOTANY

Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing

(2012) Joshua Kelcey et al.   Remote Sensing

Field Phenotyping Strategies and Breeding for Adaptation of Rice to Drought†

(2012) Ken S. Fischer et al.   Frontiers in Physiology

Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets

(2011) Miao-Xin Li et al.   HUMAN GENETICS

FaST linear mixed models for genome-wide association studies

(2011) Christoph Lippert et al.   NATURE METHODS

Characterization of an inositol 1,3,4-trisphosphate 5/6-kinase gene that is essential for drought and salt stress responses in rice

(2011) Hao Du et al.   PLANT MOLECULAR BIOLOGY

Current advances in the investigation of leaf rolling caused by biotic and abiotic stress factors

(2011) Asim Kadioglu et al.   PLANT SCIENCE

Phenomics – technologies to relieve the phenotyping bottleneck

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

Breeding for water-saving and drought-resistance rice (WDR) in China

(2010) L. J. Luo   JOURNAL OF EXPERIMENTAL BOTANY

Phenomics: the next challenge

(2010) David Houle et al.   NATURE REVIEWS GENETICS

Breeding Technologies to Increase Crop Production in a Changing World

(2010) M. Tester et al.   SCIENCE

Leaf rolling and photosystem II efficiency in Ctenanthe setosa exposed to drought stress

(2009) H. Nar et al.   PHOTOSYNTHETICA

SHALLOT-LIKE1 Is a KANADI Transcription Factor That Modulates Rice Leaf Rolling by Regulating Leaf Abaxial Cell Development

(2009) G.-H. Zhang et al.   PLANT CELL

Single-Image Vignetting Correction

(2008) Yuanjie Zheng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE