Plant Phenomics

Papers
(The median citation count of Plant Phenomics is 6. 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
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search39
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?39
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model38
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
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging37
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
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction36
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision35
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
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato33
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
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing32
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting31
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping31
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis31
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
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background22
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows22
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
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images21
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments20
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
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review19
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud18
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
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation17
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
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
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
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset13
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice13
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers12
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling12
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size12
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings12
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet12
Counting Canola: Toward Generalizable Aerial Plant Detection Models12
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery12
Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices12
Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture12
Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images12
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula12
Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning11
SegPPD-FS: Segmenting plant pests and diseases in the wild using few-shot learning11
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models11
Seeing the unseen: A novel approach to extract latent plant root traits from digital images11
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)11
Automatic Root Length Estimation from Images Acquired In Situ without Segmentation11
AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures11
Dynamic Color Transform Networks for Wheat Head Detection11
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust10
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques10
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm10
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping10
High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models10
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants10
Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton10
An unsupervised semantic segmentation network for wood–leaf separation in 3D point clouds10
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?10
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform10
CornPheno: Phenotyping corn ear kernels in the wild via point query transformer10
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning9
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean9
XFruitSeg—A general plant fruit segmentation model based on CT imaging9
Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting9
Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields9
From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms9
Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust9
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 Rice9
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components9
RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability9
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine9
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies9
LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation9
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning9
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots9
A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks9
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)8
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review8
High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum8
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence8
Leveraging UAV Hyperspectral Imaging for Crop Physiology and Biochemistry: A Comprehensive Review of Feature Extraction and Selection Methods8
ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based Remote Sensing8
Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification8
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery8
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning8
Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”8
Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies8
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection8
Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements8
LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation8
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment8
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss8
WPDSI: A deep learning method for wheat phenology detection from single-temporal images7
One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning7
Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits7
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks7
Interaction of Genotype, Environment, and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat7
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model7
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa7
Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity7
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery7
A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits7
Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat7
ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models7
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics7
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period7
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses6
Auto-LIA: The Automated Vision-Based Leaf Inclination Angle Measurement System Improves Monitoring of Plant Physiology6
UAV-LiDAR high-throughput time-series phenotyping and genome-wide association analysis reveal the genetic basis of plant height in peanut (Arachis hypogaea L.)6
Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization6
Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting6
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images6
Deep Learning for Sorghum Yield Forecasting using Uncrewed Aerial Systems and Lab-Derived Imagery6
Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning6
Bayesian adaptive sampling: A smart approach for affordable germination phenotyping6
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition6
Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level6
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics6
Awn Image Analysis and Phenotyping Using BarbNet6
The Rapid Anatomics Tool (RAT): A low-cost root anatomical phenotyping platform reveals changes in root anatomy along the root axis6
CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence6
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