OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Phenomics is 32. 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 2022-06-01 to 2026-06-01.)

Article	Citations
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field	85
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images	84
MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel	78
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence	70
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach	64
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images	50
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images	50
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation	49
UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomass	48
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View	48
Species-specific tree structural parameters extraction via UAV RGB-LiDAR data and multimodal instance segmentation	48
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data	47
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning	47
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping	46
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity	45
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices	45
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search	44
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning	44
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)	43
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging	42
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision	42
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato	41
3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion	41
3D-OGT: 3D organ growth tracking with minimum segmentation	40
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat	38

Performance of stacking machine learning and volume model for improving corn above ground biomass prediction	36
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model	36
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing	33
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting	32
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud	32
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping	32
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat	32
InspectGaussian: Large-scale coarse-to-fine Gaussian reconstruction for orchard inspection robots	32