Plant Phenomics

Papers
(The median citation count of Plant Phenomics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods57
UAS-Based Plant Phenotyping for Research and Breeding Applications37
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning32
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution30
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines29
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications27
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics26
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery25
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing23
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning21
Field Phenomics: Will It Enable Crop Improvement?20
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots20
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits19
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons19
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild18
Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)17
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images17
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature16
A Comparative Analysis of Quantitative Metrics of Root Architecture16
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants15
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses15
BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment14
Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry14
Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds14
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves14
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?13
Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud12
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)12
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline12
SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods11
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm11
Detection of the Progression of Anthesis in Field-Grown Maize Tassels: A Case Study11
Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging11
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images10
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos10
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning10
Terahertz Spectroscopy for Accurate Identification of Panax quinquefolium Basing on Nonconjugated 24(R)-Pseudoginsenoside F 1110
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery10
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning9
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning8
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage8
Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification7
Prediction of the Maturity of Greenhouse Grapes Based on Imaging Technology7
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard7
Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered7
High-Throughput Corn Image Segmentation and Trait Extraction Using Chlorophyll Fluorescence Images7
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series7
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging6
From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild6
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean6
Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum6
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection5
KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes5
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants5
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis5
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet5
Classification of Soybean Pubescence from Multispectral Aerial Imagery5
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet5
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis5
Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data4
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping4
Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees4
Dynamic Color Transform Networks for Wheat Head Detection4
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection4
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies4
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting4
Determination of F v / F m from 4
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants3
Generating 3D Multispectral Point Clouds of Plants with Fusion of Snapshot Spectral and RGB-D Images3
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [ Sorghum bicolor (L.) Moench] Cultivars3
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation3
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt3
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice3
Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR3
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach3
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image3
GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit3
Frost Damage Index: The Antipode of Growing Degree Days3
CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery2
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping2
Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking2
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks2
From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection2
Evaluation of Postharvest Senescence of Broccoli via Hyperspectral Imaging2
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator2
Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice2
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform2
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection2
Assessing the Storage Root Development of Cassava with a New Analysis Tool2
A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images2
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns2
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images2
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline2
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery2
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