Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 9. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator57
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence50
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation47
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field47
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images43
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images40
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach39
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View36
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning36
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping35
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices33
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging32
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data32
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model28
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging27
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning25
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search25
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection24
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)24
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat24
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?23
Assessing the Storage Root Development of Cassava with a New Analysis Tool23
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis23
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing23
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud22
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT22
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting22
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments20
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping20
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping19
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis19
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling19
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging17
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?17
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery17
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review16
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images16
Multi-granularity alignment for crop diseases detection16
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 Data15
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments15
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline15
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background15
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops14
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review14
Informed-Learning-Guided Visual Question Answering Model of Crop Disease14
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments14
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants14
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows14
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition13
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB213
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation13
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation12
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging12
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research12
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle11
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [Sorghum bicolor (L.) Moench] Cultivars10
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling10
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning10
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping10
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset10
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants10
Combinatorial Maps, a New Framework to Model Agroforestry Systems9
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches9
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula9
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion9
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting9
Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture9
Counting Canola: Toward Generalizable Aerial Plant Detection Models9
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet9
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling9
Corrigendum to “Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry”9
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