OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Phenomics is 21. 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.)

Article	Citations
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods	78
UAS-Based Plant Phenotyping for Research and Breeding Applications	52
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning	46
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines	38
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution	35
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing	33
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications	33
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots	32
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits	31
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning	31
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics	30
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves	28
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery	27
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild	26
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons	25
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images	24
Field Phenomics: Will It Enable Crop Improvement?	23
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants	22
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet	22
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline	21
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses	21
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet	21