Plant Phenomics

Papers
(The median citation count of Plant Phenomics is 7. 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
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity48
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
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
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping44
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
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
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model40
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
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato39
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging38
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning38
3D-OGT: 3D organ growth tracking with minimum segmentation35
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction34
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
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing31
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping30
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping30
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
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
Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework26
SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth26
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery25
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging25
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
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?23
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows23
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
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments22
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments20
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
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
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
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
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
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
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
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
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
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
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
Automatic Root Length Estimation from Images Acquired In Situ without Segmentation13
AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures13
Counting Canola: Toward Generalizable Aerial Plant Detection Models13
Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices13
Seeing the unseen: A novel approach to extract latent plant root traits from digital images13
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models13
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery13
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers13
SegPPD-FS: Segmenting plant pests and diseases in the wild using few-shot learning13
Cross-modal data integration and spectral optimization for enhanced individual apple tree canopy nitrogen concentration estimation using UAV remote sensing13
Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture13
CornPheno: Phenotyping corn ear kernels in the wild via point query transformer12
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust12
Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton12
High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models12
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform12
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm12
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping11
Leaf-DETR: Progressive adaptive network with lower matching cost for dense leaves detection11
An unsupervised semantic segmentation network for wood–leaf separation in 3D point clouds11
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies11
A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks11
Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning11
Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust11
Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice11
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques11
XFruitSeg—A general plant fruit segmentation model based on CT imaging11
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?11
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)11
From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms11
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean11
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning11
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine10
Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”10
Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting10
Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms10
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots10
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss10
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components10
LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation10
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment10
Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods10
ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based Remote Sensing10
Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields10
RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability10
Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies9
One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning9
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning9
Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification9
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence9
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection9
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery9
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review9
High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum9
Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements9
WPDSI: A deep learning method for wheat phenology detection from single-temporal images8
3D reconstruction analysis of maize-soybean intercropping competition under water stress8
LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation8
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model8
Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat8
Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity8
Awn Image Analysis and Phenotyping Using BarbNet7
Bayesian adaptive sampling: A smart approach for affordable germination phenotyping7
Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization7
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks7
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics7
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery7
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa7
Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting7
CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence7
Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits7
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period7
A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits7
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition7
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images7
Interaction of Genotype, Environment, and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat7
ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models7
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