Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 11. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field66
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator61
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach56
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence54
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation49
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images49
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images44
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning40
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View39
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices38
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping37
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data36
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging35
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity35
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search34
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection33
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model31
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging29
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?29
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis29
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning28
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud27
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat27
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping27
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)27
Assessing the Storage Root Development of Cassava with a New Analysis Tool27
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping26
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments26
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat25
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis24
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing24
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting24
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery23
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT23
Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models22
SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth22
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background21
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging21
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images21
Multi-granularity alignment for crop diseases detection21
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling21
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants19
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review18
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows18
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments18
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline17
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments17
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?17
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review16
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging16
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops16
GSP-AI: An AI-Powered Platform for Identifying Key Growth Stages and the Vegetative-to-Reproductive Transition in Wheat Using Trilateral Drone Imagery and Meteorological Data16
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research15
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation15
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition15
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation14
Informed-Learning-Guided Visual Question Answering Model of Crop Disease14
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB214
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants13
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling13
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping13
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle13
Combinatorial Maps, a New Framework to Model Agroforestry Systems12
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset12
Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning12
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning12
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting12
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion12
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches12
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [Sorghum bicolor (L.) Moench] Cultivars12
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size11
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula11
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice11
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet11
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings11
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling11
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