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 2022-06-01 to 2026-06-01.)
ArticleCitations
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field85
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images84
MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel78
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence70
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach64
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images50
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images50
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation49
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View48
Species-specific tree structural parameters extraction via UAV RGB-LiDAR data and multimodal instance segmentation48
UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomass48
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data47
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning47
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping46
Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity45
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices45
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning44
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search44
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)43
Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision42
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging42
3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion41
High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato41
3D-OGT: 3D organ growth tracking with minimum segmentation40
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat38
Performance of stacking machine learning and volume model for improving corn above ground biomass prediction36
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model36
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing33
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting32
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud32
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping32
RGB imaging and computer vision-based approaches for identifying spike number loci for wheat32
InspectGaussian: Large-scale coarse-to-fine Gaussian reconstruction for orchard inspection robots32
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT31
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis30
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping29
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments27
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
Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models26
Predictions of wheat phenotypic variability by integrating high-throughput phenotyping observations into a crop growth model25
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 Imaging24
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
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images22
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background22
Multi-sensor phenotyping of yield and yield stability for genotype selection in durum wheat22
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline21
Multi-granularity alignment for crop diseases detection21
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants21
CLIP-TLNet: Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling21
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review20
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments20
High-throughput estimation of sugarcane phenotypic traits using UAV multispectral data under high-density planting conditions20
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 Data20
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation19
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review19
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging19
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments19
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB218
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 environments18
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition18
Unraveling plant phenotype to genotype associations with daily hyperspectral traits in Populus trichocarpa17
PlantSpecLab: A comprehensive open-source platform for high-throughput plant spectral data processing and phenotypic modeling17
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research17
Plant3R: Fusing 3D feature learning with Gaussian splatting to enhance wheat plant 3D reconstruction precision17
A parallel resnet-transformer and cross-modal attention network for identification of rice blast resistance using UAV-based visible-infrared imagery17
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops17
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation16
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants16
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle16
Informed-Learning-Guided Visual Question Answering Model of Crop Disease16
Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress16
Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++16
Conditional reliability of chlorophyll fluorescence for inferring photosynthesis in Ginkgo biloba: evidence from fluctuating light and drought conditions16
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping16
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling16
panomiX: Investigating mechanisms of trait emergence through multi-omics data integration15
Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning15
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion15
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting15
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset15
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
Atlas-based spatiotemporal MRI phenotyping of 3D fungal spread in grapevine wood15
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming15
High-throughput phenotyping of wheat ear surface area and ear density in the field15
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet15
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches15
Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture14
Counting Canola: Toward Generalizable Aerial Plant Detection Models14
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula14
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size14
The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset14
Combinatorial Maps, a New Framework to Model Agroforestry Systems14
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling14
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice14
Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices13
SegPPD-FS: Segmenting plant pests and diseases in the wild using few-shot learning13
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models13
Cross-modal data integration and spectral optimization for enhanced individual apple tree canopy nitrogen concentration estimation using UAV remote sensing13
AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures13
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers13
Seeing the unseen: A novel approach to extract latent plant root traits from digital images13
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings13
Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images13
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping13
Automatic Root Length Estimation from Images Acquired In Situ without Segmentation13
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet13
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery13
High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models12
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
Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning12
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust12
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm12
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform12
An unsupervised semantic segmentation network for wood–leaf separation in 3D point clouds11
OPAL-Flow: Orientation-aware rice panicle detection and minute-scale anthesis rhythm identification under field conditions11
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies11
CornPheno: Phenotyping corn ear kernels in the wild via point query transformer11
Leaf-DETR: Progressive adaptive network with lower matching cost for dense leaves detection11
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?11
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean11
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)11
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
From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms11
RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability10
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
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning10
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components10
Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods10
XFruitSeg—A general plant fruit segmentation model based on CT imaging10
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss10
Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields10
A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks10
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
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots10
ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based Remote Sensing10
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques10
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
Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies9
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review9
Spatially resolved analysis of growth dynamics in pome and drupe fruits of Rosaceae using 3D Gaussian Splatting9
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection9
Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification9
Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements9
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model9
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence9
High-Throughput Screening of Heat Stress Response in Chinese Cabbage (Brassica rapa L. ssp. pekinensis) Seedlings Using Integrated 3D Multispectral Phenotyping and Time-Series Analysis9
WPDSI: A deep learning method for wheat phenology detection from single-temporal images9
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning8
LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation8
One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning8
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery8
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics8
Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat8
High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum8
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery8
Synthetic-augmented multimodal deep learning fuses dual-angle RGB images and phenology to unlock genotype-informative canopy structural trait in wheat7
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa7
Interaction of Genotype, Environment, and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat7
Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting7
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition7
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks7
3D reconstruction analysis of maize-soybean intercropping competition under water stress7
Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity7
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
Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits7
ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models6
The Rapid Anatomics Tool (RAT): A low-cost root anatomical phenotyping platform reveals changes in root anatomy along the root axis6
Phenotyping Alfalfa (Medicago sativa L.) Root Structure Architecture via Integrating Confident Machine Learning with ResNet-186
Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered6
Quantification of lettuce leaf DUS test traits and phenotypic fingerprint construction for variety identification6
Bayesian adaptive sampling: A smart approach for affordable germination phenotyping6
CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence6
Auto-LIA: The Automated Vision-Based Leaf Inclination Angle Measurement System Improves Monitoring of Plant Physiology6
A hybrid method for water stress evaluation of rice with the radiative transfer model and multidimensional imaging6
Awn Image Analysis and Phenotyping Using BarbNet6
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images6
Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization6
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
SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation6
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