Plant Phenomics

(The median citation count of Plant Phenomics is 2. 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 2020-06-01 to 2024-06-01.)
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods64
UAS-Based Plant Phenotyping for Research and Breeding Applications42
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning38
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines33
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution32
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications29
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing29
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics28
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots26
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits25
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery25
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild24
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning23
Field Phenomics: Will It Enable Crop Improvement?21
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons21
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves19
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images19
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature18
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants18
Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds17
Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)17
A Comparative Analysis of Quantitative Metrics of Root Architecture17
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline17
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses16
Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry16
BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment15
Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud15
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm14
SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods13
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning13
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?13
Detection of the Progression of Anthesis in Field-Grown Maize Tassels: A Case Study13
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)13
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos12
Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered12
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery12
Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging12
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet12
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning11
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet11
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images11
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage10
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis10
Terahertz Spectroscopy for Accurate Identification of Panax quinquefolium Basing on Nonconjugated 24(R)-Pseudoginsenoside F 1110
High-Throughput Corn Image Segmentation and Trait Extraction Using Chlorophyll Fluorescence Images9
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning9
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection8
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series8
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping8
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard8
From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild7
Generating 3D Multispectral Point Clouds of Plants with Fusion of Snapshot Spectral and RGB-D Images7
Prediction of the Maturity of Greenhouse Grapes Based on Imaging Technology7
Dynamic Color Transform Networks for Wheat Head Detection7
Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification7
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants7
Classification of Soybean Pubescence from Multispectral Aerial Imagery7
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis6
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging6
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean6
Determination of F v / F m from 6
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies6
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform6
Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum6
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach6
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline5
KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes5
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models5
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery5
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning5
Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data5
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting5
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection4
Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees4
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 Rice4
Evaluation of Postharvest Senescence of Broccoli via Hyperspectral Imaging4
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images4
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt4
Frost Damage Index: The Antipode of Growing Degree Days4
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator4
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [ Sorghum bicolor (L.) Moench] Cultivars3
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns3
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?3
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants3
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image3
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice3
From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection3
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset3
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation3
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images3
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period3
Assessing the Storage Root Development of Cassava with a New Analysis Tool3
GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit3
Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR3
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review3
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks3
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection3
A Combined Genomics and Phenomics Approach is Needed to Boost Breeding in Sugarcane3
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background2
Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size2
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery2
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review2
Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting2
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models2
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model2
CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery2
Coupling Plant Growth Models and Pest and Disease Models: An Interaction Structure Proposal, MIMIC2
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field2
Automatic Root Length Estimation from Images Acquired In Situ without Segmentation2
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings2
A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images2
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping2
Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking2