Plant Phenomics

Papers
(The median citation count of Plant Phenomics is 4. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator57
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence50
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field47
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation47
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images43
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images40
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach39
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View36
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning36
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping35
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices33
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data32
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging32
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model28
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging27
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search25
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning25
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)24
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat24
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection24
Assessing the Storage Root Development of Cassava with a New Analysis Tool23
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis23
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing23
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?23
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT22
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting22
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud22
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping20
MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments20
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis19
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling19
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping19
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?17
Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery17
A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging17
Multi-granularity alignment for crop diseases detection16
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review16
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images16
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline15
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background15
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 Data15
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments15
Informed-Learning-Guided Visual Question Answering Model of Crop Disease14
PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments14
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants14
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows14
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops14
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review14
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB213
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation13
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition13
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging12
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research12
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation12
Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle11
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning10
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping10
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset10
AFM-YOLOv8s: An Accurate, Fast, and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants10
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [Sorghum bicolor (L.) Moench] Cultivars10
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling10
Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture9
Counting Canola: Toward Generalizable Aerial Plant Detection Models9
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet9
DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling9
Corrigendum to “Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry”9
Combinatorial Maps, a New Framework to Model Agroforestry Systems9
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches9
WITHDRAWN: Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula9
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion9
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting9
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice8
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet8
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery8
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size8
Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices7
High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models7
Automatic Root Length Estimation from Images Acquired In Situ without Segmentation7
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings7
AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures7
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust7
Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers7
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models7
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping7
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)6
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean6
Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting6
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 Rice6
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform6
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants6
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques6
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning6
Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields6
Dynamic Color Transform Networks for Wheat Head Detection6
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?6
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies6
A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks6
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm6
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning6
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence5
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment5
ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based Remote Sensing5
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review5
One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning5
Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat5
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components5
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots5
Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies5
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)5
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection5
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery5
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine5
Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”5
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss5
Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification5
High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum5
Interaction of Genotype, Environment, and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat4
Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting4
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images4
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa4
Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits4
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery4
A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits4
CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence4
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model4
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition4
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period4
Awn Image Analysis and Phenotyping Using BarbNet4
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks4
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics4
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