Plant Phenomics

Papers
(The H4-Index of Plant Phenomics is 21. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean52
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator47
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation46
Segment Anything for Comprehensive Analysis of Grapevine Cluster Architecture and Berry Properties44
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence40
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income39
Recognition and Localization of Maize Leaf and Stalk Trajectories in RGB Images Based on Point-Line Net38
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns36
Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking36
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies34
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?30
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach29
Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB229
Informed-Learning-Guided Visual Question Answering Model of Crop Disease27
High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics26
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics24
Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra23
Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques23
The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review23
SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation22
Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level22
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging21
Phenotyping Alfalfa (Medicago sativa L.) Root Structure Architecture via Integrating Confident Machine Learning with ResNet-1821
Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition21
DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning21
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