Winter Wheat Crop Height Estimation Using Small Unmanned Aerial System (sUAS)

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ISSN Print: 2156-8553
ISSN Online: 2156-8561
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E-mail: as@scirp.org

"Winter Wheat Crop Height Estimation Using Small Unmanned Aerial System (sUAS)"
written by Marife Kung Villareal, Alejandro Fernandez Tongco, Joe Mari J. Maja,
published by Agricultural Sciences, Vol.11 No.4, 2020

has been cited by the following article(s):

[1]	Identification lodging degree of wheat using point cloud data and convolutional neural network
	Frontiers in Plant Science, 2022

[2]	High-throughput plant phenotyping platform (HT3P) as a novel tool for estimating agronomic traits from the lab to the field
	2021

[3]	Rice height monitoring between different estimation models using UAV photogrammetry and multispectral technology
	Remote Sensing, 2021

[4]	Estimating and evaluating the rice cluster distribution uniformity with UAV-based images
	Scientific Reports, 2021

[1]	Enhancing Winter Wheat Representation in Noah‐MP‐Crop for Improved Dynamic Crop Growth Simulation in the North China Plain Journal of Geophysical Research: Biogeosciences, 2024 DOI:10.1029/2024JG008150

[2]	Enhancing Winter Wheat Representation in Noah‐MP‐Crop for Improved Dynamic Crop Growth Simulation in the North China Plain Journal of Geophysical Research: Biogeosciences, 2024 DOI:10.1029/2024JG008150

[3]	Identification lodging degree of wheat using point cloud data and convolutional neural network Frontiers in Plant Science, 2022 DOI:10.3389/fpls.2022.968479

[4]	High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field Frontiers in Bioengineering and Biotechnology, 2021 DOI:10.3389/fbioe.2020.623705

[5]	Rice Height Monitoring between Different Estimation Models Using UAV Photogrammetry and Multispectral Technology Remote Sensing, 2021 DOI:10.3390/rs14010078

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