UAV

Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery
In plant breeding, unmanned aerial vehicles (UAVs) carrying multispectral cameras have demonstrated increasing utility for …
DOI
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images …
DOI
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes
Aboveground dry weight (AGDW) and leaf area index (LAI) are indicators of crop growth status and grain yield as affected by …
DOI
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Ground coverage (GC) allows monitoring of crop growth and development and is normally estimated as the ratio of vegetation to the total …
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Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Integrating Crop Growth Models with Remote Sensing for Predicting Biomass Yield of Sorghum
Plant phenotypes are often descriptive, rather than predictive of crop performance. As a result, extensive testing is required in plant …
DOI
ModelingGlobal Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population …
DOI
Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding
With advances in camera and robotic technologies, unmanned aerial vehicles (UAV) provide the means to capture images at sufficiently …
Estimation of plot variability using unmanned aerial vehicle (UAV) for the wheat breeding trials
Gaps in breeders’ plots (spatial variability) are caused by multiple biotic and abiotic stresses (i.e. poor seed gemination, frost, …
A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the distribution of crop-heads in varying branching …
DOI
Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
Image analysis using proximal sensors can help accelerate the selection process in plant breeding and improve the breeding efficiency. …
DOI