Review: Application of Artificial Intelligence in Phenomics

Combining generative adversarial networks and agricultural transfer learning for weeds identification

(2021) Borja Espejo-Garcia et al.   BIOSYSTEMS ENGINEERING

Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

(2020) Hengbiao Zheng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook

(2020) Gaetano Messina et al.   Remote Sensing

Defect identification in composite materials via thermography and deep learning techniques

(2020) Hyun-Tae Bang et al.   COMPOSITE STRUCTURES

Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing

(2020) Huajian Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Thermal Imaging for Plant Stress Detection and Phenotyping

(2020) Mónica Pineda et al.   Remote Sensing

Plant Phenotyping Research Trends, a Science Mapping Approach

(2019) Corrado Costa et al.   Frontiers in Plant Science

A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

(2019) Amanda Ramcharan et al.   Frontiers in Plant Science

High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture

(2019) Aakash Chawade et al.   Agronomy-Basel

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure

(2019) Alwaseela Abdalla et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms

(2019) Qing Gu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification

(2019) Md. Matiur Rahaman et al.   Scientific Reports

Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

(2019) Xian-Feng Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Deep Convolutional Neural Network Architecture for Boosting Image Discrimination Accuracy of Rice Species

(2018) P. Lin et al.   Food and Bioprocess Technology

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

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: challenges and opportunities revisited

(2018) Perry J. Hardin et al.   GIScience & Remote Sensing

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

(2018) Meng Zhang et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

A Comprehensive Review and Synthesis of Open Source Research

(2018) Altay Aksulu et al.   Journal of the Association for Information Systems

Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat

(2018) Lukas Prey et al.   SENSORS

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

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

Artificial Intelligence and Integrated Genotype–Phenotype Identification

(2018) Lewis Frey   Genes

Uncovering the hidden half of plants using new advances in root phenotyping

(2018) Jonathan A Atkinson et al.   CURRENT OPINION IN BIOTECHNOLOGY

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

(2017) Nicolas Virlet et al.   FUNCTIONAL PLANT BIOLOGY

Grain classifier with computer vision using adaptive neuro-fuzzy inference system

(2017) Kadir Sabanci et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

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

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

(2017) Alvaro Fuentes et al.   SENSORS

A new micro X-ray fluorescence spectrometer for in vivo elemental analysis in plants

(2017) U.E.A. Fittschen et al.   X-RAY SPECTROMETRY

Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models

(2017) Hongyan Zhu et al.   Scientific Reports

Optimizing the Processing of UAV-Based Thermal Imagery

(2017) Wouter Maes et al.   Remote Sensing

Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing

(2017) Haiyan Cen et al.   Frontiers in Plant Science

Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering

(2017) Pouria Sadeghi-Tehran 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

PlantCV v2: Image analysis software for high-throughput plant phenotyping

(2017) Malia A. Gehan et al.   PeerJ

Challenges and opportunities: from big data to knowledge in AI 2.0

(2017) Yue-ting Zhuang et al.   Frontiers of Information Technology & Electronic Engineering

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms

(2017) Fernando Perez-Sanz et al.   GigaScience

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

(2017) Michael P. Pound et al.   GigaScience

A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding

(2016) Geng Bai et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Computer vision-based method for classification of wheat grains using artificial neural network

(2016) Kadir Sabanci et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Computer vision cracks the leaf code

(2016) Peter Wilf et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network

(2016) Sebastian Kuhlgert et al.   Royal Society Open Science

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

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Pixel classification methods for identifying and quantifying leaf surface injury from digital images

(2014) Ole Mathis Opstad Kruse et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

DIA2: Web-based Cyberinfrastructure for Visual Analysis of Funding Portfolios

(2014) Krishna Madhavan et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Detection of early plant stress responses in hyperspectral images

(2014) Jan Behmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2014) Dijun Chen et al.   PLANT CELL

The Invisible Prevalence of Citizen Science in Global Research: Migratory Birds and Climate Change

(2014) Caren B. Cooper et al.   PLoS One

Development of a Wireless Computer Vision Instrument to Detect Biotic Stress in Wheat

(2014) Joaquin Casanova et al.   SENSORS

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Development and evaluation of a field-based high-throughput phenotyping platform

(2013) Pedro Andrade-Sanchez et al.   FUNCTIONAL PLANT BIOLOGY

Machine learning in cell biology – teaching computers to recognize phenotypes

(2013) Christoph Sommer et al.   JOURNAL OF CELL SCIENCE

Infrared thermography used to diagnose the effects of salinity in a soilless culture

(2013) Miguel Urrestarazu   Quantitative InfraRed Thermography Journal

Towards enabling Cyberinfrastructure as a Service in Clouds

(2012) Lizhe Wang et al.   COMPUTERS & ELECTRICAL ENGINEERING

Field-based phenomics for plant genetics research

(2012) Jeffrey W. White et al.   FIELD CROPS RESEARCH

Non-destructive quantification of cereal roots in soil using high-resolution X-ray tomography

(2012) R. J. Flavel et al.   JOURNAL OF EXPERIMENTAL BOTANY

Participatory design of DataONE—Enabling cyberinfrastructure for the biological and environmental sciences

(2011) William K. Michener et al.   Ecological Informatics

Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat

(2011) Nathalie Vigneau et al.   FIELD CROPS RESEARCH

A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects

(2011) Samuel Arvidsson et al.   NEW PHYTOLOGIST

The use of PET/CT scanning technique for 3D visualization and quantification of real-time soil/plant interactions

(2011) Amin Garbout et al.   PLANT AND SOIL

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

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

Phenomics – technologies to relieve the phenotyping bottleneck

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

The iPlant Collaborative: Cyberinfrastructure for Plant Biology

(2011) Stephen A. Goff et al.   Frontiers in Plant Science

Automated canopy temperature estimation via infrared thermography: A first step towards automated plant water stress monitoring

(2010) Xuezhi Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New phenotyping methods for screening wheat and barley for beneficial responses to water deficit

(2010) R. Munns et al.   JOURNAL OF EXPERIMENTAL BOTANY

Visualization of image data from cells to organisms

(2010) Thomas Walter et al.   NATURE METHODS

Phenomics: the next challenge

(2010) David Houle et al.   NATURE REVIEWS GENETICS

Bisque: a platform for bioimage analysis and management

(2009) Kristian Kvilekval et al.   BIOINFORMATICS

Near-distance imaging spectroscopy investigating chlorophyll fluorescence and photosynthetic activity of grassland in the daily course

(2009) Alexander Ač et al.   FUNCTIONAL PLANT BIOLOGY

Foreword: Plant phenomics: from gene to form and function

(2009)   FUNCTIONAL PLANT BIOLOGY

Diagnosis of virus infection in orchid plants with high-resolution optical coherence tomography

(2009) Tzu H. Chow et al.   JOURNAL OF BIOMEDICAL OPTICS

Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection

(2009) P.J. Zarco-Tejada et al.   REMOTE SENSING OF ENVIRONMENT

Chlorophyll fluorescence imaging accurately quantifies freezing damage and cold acclimation responses in Arabidopsis leaves

(2008) Britta Ehlert et al.   Plant Methods