Plant Phenomics

Papers
(The TQCC of Plant Phenomics is 16. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence94
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images93
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field85
MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel75
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation68
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach59
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images57
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images55
UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomass53
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning53
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices52
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View51
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity51
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data51
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping50
Species-specific tree structural parameters extraction via UAV RGB-LiDAR data and multimodal instance segmentation50
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat49
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)47
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato47
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning47
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search46
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision46
3D-OGT: 3D organ growth tracking with minimum segmentation45
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model44
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging42
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction40
3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion40
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud37
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting37
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis36
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping36
InspectGaussian: Large-scale coarse-to-fine Gaussian reconstruction for orchard inspection robots35
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing35
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping34
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments34
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat34
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT31
Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework30
Predictions of wheat phenotypic variability by integrating high-throughput phenotyping observations into a crop growth model29
Transpiration responds linearly to Penman-Monteith reference evapotranspiration and varies genetically, both in individual plants and canopies, in large sorghum and pearl millet panels29
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging29
SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth29
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling28
Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models27
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows25
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?25
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery25
Multi-sensor phenotyping of yield and yield stability for genotype selection in durum wheat24
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants24
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background24
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 Data24
High-throughput estimation of sugarcane phenotypic traits using UAV multispectral data under high-density planting conditions24
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments23
CLIP-TLNet: Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling23
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline22
Multi-granularity alignment for crop diseases detection22
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments22
Physiology-informed LSTM framework integrating crop model and Sentinel-2 time series for rice nitrogen status estimation22
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images21
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition21
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review21
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review21
Unraveling plant phenotype to genotype associations with daily hyperspectral traits in Populus trichocarpa20
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops20
Conditional reliability of chlorophyll fluorescence for inferring photosynthesis in Ginkgo biloba: evidence from fluctuating light and drought conditions20
PlantSpecLab: A comprehensive open-source platform for high-throughput plant spectral data processing and phenotypic modeling20
A keypoint-based method for detecting weed growth points in corn field environments20
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research20
A parallel resnet-transformer and cross-modal attention network for identification of rice blast resistance using UAV-based visible-infrared imagery19
Plant3R: Fusing 3D feature learning with Gaussian splatting to enhance wheat plant 3D reconstruction precision19
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB219
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud18
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation18
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging18
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation18
Informed-Learning-Guided Visual Question Answering Model of Crop Disease18
Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress17
panomiX: Investigating mechanisms of trait emergence through multi-omics data integration17
Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine17
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning17
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants17
Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++17
Combinatorial Maps, a New Framework to Model Agroforestry Systems17
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping17
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming17
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling17
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle17
Counting Canola: Toward Generalizable Aerial Plant Detection Models16
Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning16
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches16
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula16
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice16
Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images16
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset16
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet16
High-throughput phenotyping of wheat ear surface area and ear density in the field16
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size16
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings16
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting16
Atlas-based spatiotemporal MRI phenotyping of 3D fungal spread in grapevine wood16
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion16
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling16
Cross-modal data integration and spectral optimization for enhanced individual apple tree canopy nitrogen concentration estimation using UAV remote sensing16
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery16
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