Plant Phenomics

Papers
(The H4-Index of Plant Phenomics is 19. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods68
UAS-Based Plant Phenotyping for Research and Breeding Applications43
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning39
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines33
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution33
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing30
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications29
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits28
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics28
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots27
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning26
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery25
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild25
Field Phenomics: Will It Enable Crop Improvement?22
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons22
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images21
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves20
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline19
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature19
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