Plant Phenomics

Papers
(The median citation count of Plant Phenomics is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods78
UAS-Based Plant Phenotyping for Research and Breeding Applications52
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning46
The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines38
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution35
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing33
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications33
A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots32
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits31
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning31
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics30
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves28
Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery27
A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild26
Phenotyping Tomato Root Developmental Plasticity in Response to Salinity in Soil Rhizotrons25
Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images24
Field Phenomics: Will It Enable Crop Improvement?23
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants22
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet22
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline21
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses21
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet21
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature20
Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)20
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm19
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning19
A Comparative Analysis of Quantitative Metrics of Root Architecture18
BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment17
Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered17
Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud17
Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry16
Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds16
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning16
Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.)16
SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods15
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage15
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning15
Detection of the Progression of Anthesis in Field-Grown Maize Tassels: A Case Study14
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean14
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos14
Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging14
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?14
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images14
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery13
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis12
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping12
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis11
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies11
Dynamic Color Transform Networks for Wheat Head Detection11
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants11
From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild10
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 Images10
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection9
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series9
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning9
Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification9
Lightweight Deep Learning Models for High-Precision Rice Seedling Segmentation from UAV-Based Multispectral Images9
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images9
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform9
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard9
Prediction of the Maturity of Greenhouse Grapes Based on Imaging Technology9
Classification of Soybean Pubescence from Multispectral Aerial Imagery8
Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model8
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach8
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models8
Determination of F v / F m from 8
Generating 3D Multispectral Point Clouds of Plants with Fusion of Snapshot Spectral and RGB-D Images8
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging8
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image7
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley despite Long History of Domestication and Breeding Selection7
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline6
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models6
Assessing the Storage Root Development of Cassava with a New Analysis Tool6
GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit6
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt6
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery6
Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review6
Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data6
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting6
Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum6
CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery5
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 Rice5
Small and Oriented Wheat Spike Detection at the Filling and Maturity Stages Based on WheatNet5
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection5
Efficient Noninvasive FHB Estimation using RGB Images from a Novel Multiyear, Multirater Dataset5
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns5
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics5
Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data5
KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes5
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator5
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review5
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period5
Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review4
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks4
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT4
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [ Sorghum bicolor (L.) Moench] Cultivars4
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning4
Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees4
Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking4
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants4
Potential of Establishing the Universal Critical Nitrogen Dilution Curve for Japonica Rice4
Exploring the Close-Range Detection of UAV-Based Images on Pine Wilt Disease by an Improved Deep Learning Method4
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat4
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine4
Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting4
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation4
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa4
Moxa Wool in Different Purities and Different Growing Years Measured by Terahertz Spectroscopy4
Evaluation of Postharvest Senescence of Broccoli via Hyperspectral Imaging4
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment4
Frost Damage Index: The Antipode of Growing Degree Days4
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field4
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?3
Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion3
A Combined Genomics and Phenomics Approach is Needed to Boost Breeding in Sugarcane3
Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR3
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images3
From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection3
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence3
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