DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis

DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis

(2020) Azam Hamidinekoo et al.   GigaScience

Deep learning in mammography and breast histology, an overview and future trends

(2018) Azam Hamidinekoo et al.   MEDICAL IMAGE ANALYSIS

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

(2018) Jordan Ubbens et al.   Plant Methods

Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana

(2018) François Vasseur et al.   Plant Methods

Deep phenotyping: deep learning for temporal phenotype/genotype classification

(2018) Sarah Taghavi Namin et al.   Plant Methods

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

(2017) Hsiang Sing Naik et al.   Plant Methods

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Deep Learning for Image-Based Cassava Disease Detection

(2017) Amanda Ramcharan 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

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies

(2017) Jonathan A. Atkinson et al.   GigaScience

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton

(2016) Duke Pauli et al.   G3-Genes Genomes Genetics

Determining Phenological Patterns Associated with the Onset of Senescence in a Wheat MAGIC Mapping Population

(2016) Anyela V. Camargo et al.   Frontiers in Plant Science

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Genome-wide association mapping of growth dynamics detects time-specific and general quantitative trait loci

(2015) Johanna A. Bac-Molenaar et al.   JOURNAL OF EXPERIMENTAL BOTANY

A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thaliana

(2015) Marco Augustin et al.   MACHINE VISION AND APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Genome-wide association mapping of time-dependent growth responses to moderate drought stress in Arabidopsis

(2015) Johanna A. Bac-Molenaar et al.   PLANT CELL AND ENVIRONMENT

The RNA helicase, eIF4A-1, is required for ovule development and cell size homeostasis in Arabidopsis

(2015) Maxwell S. Bush et al.   PLANT JOURNAL

Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach

(2015) Frank Liebisch et al.   Plant Methods

Planting molecular functions in an ecological context with Arabidopsis thaliana

(2015) Ute Krämer   eLife

Phenotyping date palm varieties via leaflet cross-sectional imaging and artificial neural network application

(2014) Vladimir Arinkin et al.   BMC BIOINFORMATICS

Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis

(2014) Dijun Chen et al.   PLANT CELL

CDKG1 protein kinase is essential for synapsis and male meiosis at high ambient temperature inArabidopsis thaliana

(2014) Tao Zheng et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Image-based plant phenotyping with incremental learning and active contours

(2013) Massimo Minervini et al.   Ecological Informatics

Phenomics – technologies to relieve the phenotyping bottleneck

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

The development of Arabidopsis as a model plant

(2010) Maarten Koornneef et al.   PLANT JOURNAL

A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana

(2009) Paula X. Kover et al.   PLoS Genetics