Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 14. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel83
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field76
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images75
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach68
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images64
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation50
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence49
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images48
Species-specific tree structural parameters extraction via UAV RGB-LiDAR data and multimodal instance segmentation48
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity48
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data46
UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomass45
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search44
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices44
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning44
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View44
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping44
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat43
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)42
3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion40
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision40
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model40
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato39
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning38
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging38
3D-OGT: 3D organ growth tracking with minimum segmentation35
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction34
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing31
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud31
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments31
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT30
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis30
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping30
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping30
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting29
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat28
Predictions of wheat phenotypic variability by integrating high-throughput phenotyping observations into a crop growth model27
SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth26
Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework26
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 Imagery25
Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models24
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling24
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows23
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?23
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments22
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 Data22
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments20
High-throughput estimation of sugarcane phenotypic traits using UAV multispectral data under high-density planting conditions19
Multi-sensor phenotyping of yield and yield stability for genotype selection in durum wheat19
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background19
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review19
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline19
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review19
A keypoint-based method for detecting weed growth points in corn field environments18
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images18
Conditional reliability of chlorophyll fluorescence for inferring photosynthesis in Ginkgo biloba: evidence from fluctuating light and drought conditions18
Multi-granularity alignment for crop diseases detection18
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research18
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants18
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition18
Informed-Learning-Guided Visual Question Answering Model of Crop Disease17
PlantSpecLab: A comprehensive open-source platform for high-throughput plant spectral data processing and phenotypic modeling17
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging16
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB216
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation16
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
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops16
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling16
Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++16
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud16
Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress16
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming16
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants16
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping15
panomiX: Investigating mechanisms of trait emergence through multi-omics data integration15
Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine15
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning15
Combinatorial Maps, a New Framework to Model Agroforestry Systems15
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion15
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset15
Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning15
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting15
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet14
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet14
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings14
Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images14
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches14
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice14
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size14
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling14
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula14
The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset14
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