On the public citation graph

EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping

https://doi.org/10.3390/rs13132622
0 signed · 81 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ece3.6861openalex-snapshot
Field‐based individual plant phenotyping of herbaceous species by unmanned aerial vehicle
inferredcites →https://doi.org/10.1007/978-3-319-10590-1openalex-snapshot
Computer Vision – ECCV 2014
inferredcites →https://doi.org/10.1007/s11119-020-09734-2openalex-snapshot
Real-time detection of rice phenology through convolutional neural network using handheld camera images
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1016/j.agrformet.2020.108231openalex-snapshot
A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images
inferredcites →https://doi.org/10.1016/j.compag.2014.09.021openalex-snapshot
In-field crop row phenotyping from 3D modeling performed using Structure from Motion
inferredcites →https://doi.org/10.1016/j.compag.2019.04.014openalex-snapshot
Automated segmentation of soybean plants from 3D point cloud using machine learning
inferredcites →https://doi.org/10.1016/j.compag.2019.105047openalex-snapshot
3D model processing for high throughput phenotype extraction – the case of corn
inferredcites →https://doi.org/10.1016/j.compag.2020.105711openalex-snapshot
Evaluation of cotton emergence using UAV-based imagery and deep learning
inferredcites →https://doi.org/10.1016/j.isprsjprs.2019.12.011openalex-snapshot
Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering
inferredcites →https://doi.org/10.1038/s41438-019-0151-5openalex-snapshot
Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production
inferredcites →https://doi.org/10.1038/s41438-021-00553-8openalex-snapshot
Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
inferredcites →https://doi.org/10.1071/fp16123openalex-snapshot
Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
inferredcites →https://doi.org/10.1071/fp20309openalex-snapshot
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
inferredcites →https://doi.org/10.1093/aob/mcaa046openalex-snapshot
Quantification of light interception within image-based 3-D reconstruction of sole and intercropped canopies over the entire growth season
inferredcites →https://doi.org/10.1093/aob/mcy016openalex-snapshot
Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/iiphdw.2018.8388338openalex-snapshot
Data augmentation for improving deep learning in image classification problem
inferredcites →https://doi.org/10.1109/mcse.2007.55openalex-snapshot
Matplotlib: A 2D Graphics Environment
inferredcites →https://doi.org/10.1109/mcse.2011.37openalex-snapshot
The NumPy Array: A Structure for Efficient Numerical Computation
inferredcites →https://doi.org/10.1111/2041-210x.13645openalex-snapshot
EasyDCP: An affordable, high‐throughput tool to measure plant phenotypic traits in 3D
inferredcites →https://doi.org/10.1186/s13007-019-0457-1openalex-snapshot
Automatic estimation of heading date of paddy rice using deep learning
inferredcites →https://doi.org/10.1186/s13007-020-00575-8openalex-snapshot
Active learning with point supervision for cost-effective panicle detection in cereal crops
inferredcites →https://doi.org/10.1186/s13007-020-00613-5openalex-snapshot
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
inferredcites →https://doi.org/10.12133/j.smartag.2020.2.1.201912-sa003openalex-snapshot
A fast extraction method of broccoli phenotype based on machine vision and deep learning
inferredcites →https://doi.org/10.1371/journal.pone.0243923openalex-snapshot
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture
inferredcites →https://doi.org/10.14456/mijet.2021.14openalex-snapshot
Estimation of Paddy Rice Plant Height using UAV Remote Sensing
inferredcites →https://doi.org/10.3389/fpls.2018.01544openalex-snapshot
Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy
inferredcites →https://doi.org/10.3389/fpls.2019.00248openalex-snapshot
An Accurate Skeleton Extraction Approach From 3D Point Clouds of Maize Plants
inferredcites →https://doi.org/10.3389/fpls.2020.00402openalex-snapshot
A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks
inferredcites →https://doi.org/10.3389/fpls.2021.637694openalex-snapshot
GIS-Based Analysis for UAV-Supported Field Experiments Reveals Soybean Traits Associated With Rotational Benefit
inferredcites →https://doi.org/10.3390/data4010042openalex-snapshot
Evaluation of Photogrammetry and Inclusion of Control Points: Significance for Infrastructure Monitoring
inferredcites →https://doi.org/10.3390/rs12010017openalex-snapshot
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
inferredcites →https://doi.org/10.3390/rs12020269openalex-snapshot
Image-Based Dynamic Quantification of Aboveground Structure of Sugar Beet in Field
inferredcites →https://doi.org/10.3390/rs13050860openalex-snapshot
New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping
inferredcites →https://doi.org/10.3390/s16060874openalex-snapshot
Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System
inferredcites →https://doi.org/10.3390/s18041077openalex-snapshot
Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry
inferredcites →https://doi.org/10.3390/s19132883openalex-snapshot
Low-Cost Three-Dimensional Modeling of Crop Plants
inferredcites →https://doi.org/10.34133/2019/1525874openalex-snapshot
A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
inferredcites →https://doi.org/10.34133/2019/2591849openalex-snapshot
Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping
inferredcites →https://doi.org/10.34133/2020/3521852openalex-snapshot
Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
inferredcites →https://doi.org/10.34133/2021/9840192openalex-snapshot
UAS-Based Plant Phenotyping for Research and Breeding Applications
inferredcites →https://doi.org/10.34133/2021/9846158openalex-snapshot
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
inferredcites →https://doi.org/10.3920/978-90-8686-888-9_118openalex-snapshot
Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4158755openalex-extracted
Applications of Drones and Image Analytics in Field Phenotyping: A Potential Breakthrough in Uganda's Agricultural Research
inferred← citeshttps://doi.org/10.1002/ppj2.20096openalex-snapshot
UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs
inferred← citeshttps://doi.org/10.1007/978-3-031-50543-0_30openalex-snapshot
Research on Rapid Selection of University Funding Objects Based on Social Big Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-59167-9_5openalex-snapshot
Advance Reconnaissance of UGV Path Planning Using Unmanned Aerial Vehicle to Carry Our Mission in Unknown Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-98890-5_23openalex-snapshot
Precision Agriculture Drone Technology: A Systematic Review of the Literature
inferred← citeshttps://doi.org/10.1007/978-981-97-7762-4_4openalex-snapshot
A Robust Big Data Handling Solution for RGB Image Data Set by Indoor UAV-Based Phenotyping System
inferred← citeshttps://doi.org/10.1007/978-981-97-7762-4_7openalex-snapshot
EasyIDP V2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping
inferred← citeshttps://doi.org/10.1007/s00344-024-11492-8openalex-snapshot
Morpho-Colorimetric Diversity and Genome-Wide Association Study of Wheat Spike Architecture Based on Image Processing Under Well-Watered and Rain-Fed Conditions
inferred← citeshttps://doi.org/10.1007/s11119-026-10352-7openalex-snapshot
Drone-based assessment of multifunctionality in mixed cropping systems
inferred← citeshttps://doi.org/10.1007/s12530-024-09612-6openalex-snapshot
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109934openalex-snapshot
A practical UAV-assisted workflow for high-throughput screening of drought-resistant rice
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102421openalex-snapshot
MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection from Undistorted Images with Orthomosaic Projection
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108841openalex-snapshot
Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109601openalex-snapshot
A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring
inferred← citeshttps://doi.org/10.1016/j.compag.2025.110505openalex-snapshot
Dynamic whole-life cycle measurement of individual plant height in oilseed rape through the fusion of point cloud and crop root zone localization
inferred← citeshttps://doi.org/10.1016/j.compag.2026.112454openalex-snapshot
Poplar-Studio: skeleton-guided reconstruction of editable 3D poplar seedling models from multi-view point clouds
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115674openalex-snapshot
Detecting diurnal dynamics of cotton leaf inclination angle under water-salt stress
inferred← citeshttps://doi.org/10.1038/s41598-023-47431-yopenalex-snapshot
UAV-based individual Chinese cabbage weight prediction using multi-temporal data
inferred← citeshttps://doi.org/10.1080/20964471.2026.2666947openalex-snapshot
Open-source GIS software and tools: a systematic review
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3374237openalex-snapshot
Hemisphere Harmonics Basis: A Universal Approach to Remote Sensing BRDF Approximation
inferred← citeshttps://doi.org/10.1186/s13007-024-01236-wopenalex-snapshot
Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location
inferred← citeshttps://doi.org/10.1270/jsbbs.21059openalex-snapshot
Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware
inferred← citeshttps://doi.org/10.1270/jsbbs.21069openalex-snapshot
High-throughput field crop phenotyping: current status and challenges
inferred← citeshttps://doi.org/10.21203/rs.3.rs-11163942/v1openalex-snapshot
Integrating UAV-Based Remote Sensing and Deep Learning for Early Detection of Bacterial Leaf Blight in Rice
inferred← citeshttps://doi.org/10.3389/fpls.2022.897746openalex-snapshot
A miniaturized phenotyping platform for individual plants using multi-view stereo 3D reconstruction
inferred← citeshttps://doi.org/10.3389/fpls.2025.1642388openalex-snapshot
Accurate plant 3D reconstruction and phenotypic traits extraction via stereo imaging and multi-view point cloud alignment
inferred← citeshttps://doi.org/10.3390/agriculture15020175openalex-snapshot
Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation
inferred← citeshttps://doi.org/10.3390/jsan12020028openalex-snapshot
A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices
inferred← citeshttps://doi.org/10.3390/rs13163067openalex-snapshot
An Efficient Method for Estimating Wheat Heading Dates Using UAV Images
inferred← citeshttps://doi.org/10.3390/rs17050906openalex-snapshot
Improved Detection and Location of Small Crop Organs by Fusing UAV Orthophoto Maps and Raw Images
inferred← citeshttps://doi.org/10.3390/s22228629openalex-snapshot
Performance and Accuracy Comparisons of Classification Methods and Perspective Solutions for UAV-Based Near-Real-Time “Out of the Lab” Data Processing
inferred← citeshttps://doi.org/10.34133/2021/9846158openalex-snapshot
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
inferred← citeshttps://doi.org/10.34133/plantphenomics.0086openalex-snapshot
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income
inferred← citeshttps://doi.org/10.34133/plantphenomics.0189openalex-snapshot
Simulation of Automatically Annotated Visible and Multi-/Hyperspectral Images Using the Helios 3D Plant and Radiative Transfer Modeling Framework
inferred← citeshttps://doi.org/10.34133/plantphenomics.0209openalex-snapshot
High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics
inferred← citeshttps://doi.org/10.6084/m9.figshare.26798790openalex-snapshot
Additional file 1 of Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location
inferred← citeshttps://doi.org/10.70675/b630e4a6ze3bfz4a08z8a34z149a4825e7b8openalex-snapshot
The challenge of robust trait estimates with Deep Learning on high resolution RGB images
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.