Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 13. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images93
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator75
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence65
MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel65
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation63
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images61
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach59
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field58
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images57
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping44
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity44
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices43
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning43
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data43
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging41
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View40
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?39
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search39
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model38
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging37
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)37
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection37
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction36
3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion36
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis36
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision35
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato33
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning33
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat33
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing32
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud32
Assessing the Storage Root Development of Cassava with a New Analysis Tool32
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis31
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting31
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping31
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments30
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat30
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT29
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping28
Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models27
SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth26
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling26
Predictions of wheat phenotypic variability by integrating high-throughput phenotyping observations into a crop growth model26
Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework25
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging25
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery24
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?24
High-Throughput Estimation of Sugarcane Phenotypic Traits Using UAV Multispectral Data Under High-Density Planting Conditions23
Multi-granularity alignment for crop diseases detection23
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows22
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background22
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images21
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline21
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants21
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments21
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments20
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review19
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition19
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review19
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB219
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 Data19
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud18
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation17
A keypoint-based method for detecting weed growth points in corn field environments17
PlantSpecLab: A Comprehensive Open-Source Platform for High-Throughput Plant Spectral Data Processing and Phenotypic Modeling17
Informed-Learning-Guided Visual Question Answering Model of Crop Disease17
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research17
Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++16
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops16
Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress16
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging16
panomiX: Investigating mechanisms of trait emergence through multi-omics data integration16
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle16
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation16
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming15
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning15
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants14
Combinatorial Maps, a New Framework to Model Agroforestry Systems14
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling14
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion14
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping14
Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning13
Corrigendum to “Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry”13
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice13
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [Sorghum bicolor (L.) Moench] Cultivars13
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet13
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting13
Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine13
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches13
The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset13
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset13
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