Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 9. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods78
UAS-Based Plant Phenotyping for Research and Breeding Applications52
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning46
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines38
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution35
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications33
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing33
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots32
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning31
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits31
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics30
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves28
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery27
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild26
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons25
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images24
Field Phenomics: Will It Enable Crop Improvement?23
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants22
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet22
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline21
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses21
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet21
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature20
Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)20
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm19
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning19
A Comparative Analysis of Quantitative Metrics of Root Architecture18
BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment17
Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered17
Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud17
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)16
Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry16
Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds16
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning16
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning15
SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods15
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage15
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?14
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images14
Detection of the Progression of Anthesis in Field-Grown Maize Tassels: A Case Study14
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean14
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos14
Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging14
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery13
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis12
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping12
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis11
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies11
Dynamic Color Transform Networks for Wheat Head Detection11
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants11
From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild10
Terahertz Spectroscopy for Accurate Identification of Panax quinquefolium Basing on Nonconjugated 24(R)-Pseudoginsenoside F 1110
High-Throughput Corn Image Segmentation and Trait Extraction Using Chlorophyll Fluorescence Images10
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection9
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series9
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning9
Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification9
Lightweight Deep Learning Models for High-Precision Rice Seedling Segmentation from UAV-Based Multispectral Images9
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images9
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform9
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard9
Prediction of the Maturity of Greenhouse Grapes Based on Imaging Technology9
0.024635076522827