OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Phenomics is 20. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator	47
Phenotyping Alfalfa (Medicago sativa L.) Root Structure Architecture via Integrating Confident Machine Learning with ResNet-18	43
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics	41
Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra	36
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation	36
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops	35
The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review	34
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean	33
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques	32
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images	29
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation	28
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants	28
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns	27
Auto-LIA: The Automated Vision-Based Leaf Inclination Angle Measurement System Improves Monitoring of Plant Physiology	24
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 Rice	23
Segment Anything for Comprehensive Analysis of Grapevine Cluster Architecture and Berry Properties	23
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies	22
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images	21
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning	21
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB2	20