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Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping

https://doi.org/10.34133/2019/2591849

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What this work says

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

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The Pascal Visual Object Classes (VOC) Challenge

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Projecting corn and soybeans yields under climate change in a Corn Belt watershed

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Verification of color vegetation indices for automated crop imaging applications

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Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model

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A survey of image processing techniques for plant extraction and segmentation in the field

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Will climate change affect sugar beet establishment of the 21st century? Insights from a simulation study using a crop emergence model

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Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding

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Janus-Faced PIDD: A Sensor for DNA Damage-Induced Cell Death or Survival?

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Review: High-throughput phenotyping to enhance the use of crop genetic resources

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Field high-throughput phenotyping: the new crop breeding frontier

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Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV

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Global food demand and the sustainable intensification of agriculture

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A Workflow for Extracting Plot-level Biophysical Indicators From Aerially Acquired Multispectral Imagery

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Segmentation of Low-Cost Remote Sensing Images Combining Vegetation Indices and Mean Shift

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A Threshold Selection Method from Gray-Level Histograms

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Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries

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Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies

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Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions

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Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy

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High-Throughput Phenotyping of Canopy Cover and Senescence in Maize Field Trials Using Aerial Digital Canopy Imaging

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EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions

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A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

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Scikit-learn: Machine Learning in Python

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scikit-image: image processing in Python

What points at this work

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

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Segmentation of vegetation and microplots in aerial agriculture images: A survey

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FIELDimageR.Extra: Advancing user experience and computational efficiency for analysis of orthomosaic from agricultural field trials

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flexFitR and exploreHTP: Open‐source software to enable nonlinear modeling of plant growth from remote‐sensing imagery

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EasyIDP V2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping

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OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery

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Rotation Adaptive Plot Extraction from UAV RGB Images

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A ir M easurer : open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice

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Automated pipeline for multi-polygon shapefile generation for phenotype and precision agriculture applications

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SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments

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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing

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GRID: A Python Package for Field Plot Phenotyping Using Aerial Images

inferred← citeshttps://doi.org/10.3390/rs12213617openalex-snapshot

High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks

inferred← citeshttps://doi.org/10.3390/rs13132622openalex-snapshot

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

inferred← citeshttps://doi.org/10.34133/2020/6735967openalex-snapshot

Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System

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Automatic Microplot Localization Using UAV Images and a Hierarchical Image-Based Optimization Method

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UAS-Based Plant Phenotyping for Research and Breeding Applications

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IHUP: An Integrated High-Throughput Universal Phenotyping Software Platform to Accelerate Unmanned-Aerial-Vehicle-Based Field Plant Phenotypic Data Extraction and Analysis

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PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping

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UAV-Based Multi-Sensor Fusion for Leaf Age Detection in Maize Inbred Line Population Seedlings

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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

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