标题
Review: Application of Artificial Intelligence in Phenomics
作者
关键词
-
出版物
SENSORS
Volume 21, Issue 13, Pages 4363
出版商
MDPI AG
发表日期
2021-06-25
DOI
10.3390/s21134363
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now