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Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypi...

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Autores principales: Yang, Guijun, Liu, Jiangang, Zhao, Chunjiang, Li, Zhenhong, Huang, Yanbo, Yu, Haiyang, Xu, Bo, Yang, Xiaodong, Zhu, Dongmei, Zhang, Xiaoyan, Zhang, Ruyang, Feng, Haikuan, Zhao, Xiaoqing, Li, Zhenhai, Li, Heli, Yang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492853/
https://www.ncbi.nlm.nih.gov/pubmed/28713402
http://dx.doi.org/10.3389/fpls.2017.01111
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author Yang, Guijun
Liu, Jiangang
Zhao, Chunjiang
Li, Zhenhong
Huang, Yanbo
Yu, Haiyang
Xu, Bo
Yang, Xiaodong
Zhu, Dongmei
Zhang, Xiaoyan
Zhang, Ruyang
Feng, Haikuan
Zhao, Xiaoqing
Li, Zhenhai
Li, Heli
Yang, Hao
author_facet Yang, Guijun
Liu, Jiangang
Zhao, Chunjiang
Li, Zhenhong
Huang, Yanbo
Yu, Haiyang
Xu, Bo
Yang, Xiaodong
Zhu, Dongmei
Zhang, Xiaoyan
Zhang, Ruyang
Feng, Haikuan
Zhao, Xiaoqing
Li, Zhenhai
Li, Heli
Yang, Hao
author_sort Yang, Guijun
collection PubMed
description Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adopted methods and typical applications for analyzing phenotypic traits by UAV-RSPs, and the challenge for crop phenotyping by UAV-RSPs were considered. The review can provide theoretical and technical support to promote the applications of UAV-RSPs for crop phenotyping.
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spelling pubmed-54928532017-07-14 Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives Yang, Guijun Liu, Jiangang Zhao, Chunjiang Li, Zhenhong Huang, Yanbo Yu, Haiyang Xu, Bo Yang, Xiaodong Zhu, Dongmei Zhang, Xiaoyan Zhang, Ruyang Feng, Haikuan Zhao, Xiaoqing Li, Zhenhai Li, Heli Yang, Hao Front Plant Sci Plant Science Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adopted methods and typical applications for analyzing phenotypic traits by UAV-RSPs, and the challenge for crop phenotyping by UAV-RSPs were considered. The review can provide theoretical and technical support to promote the applications of UAV-RSPs for crop phenotyping. Frontiers Media S.A. 2017-06-30 /pmc/articles/PMC5492853/ /pubmed/28713402 http://dx.doi.org/10.3389/fpls.2017.01111 Text en Copyright © 2017 Yang, Liu, Zhao, Li, Huang, Yu, Xu, Yang, Zhu, Zhang, Zhang, Feng, Zhao, Li, Li and Yang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yang, Guijun
Liu, Jiangang
Zhao, Chunjiang
Li, Zhenhong
Huang, Yanbo
Yu, Haiyang
Xu, Bo
Yang, Xiaodong
Zhu, Dongmei
Zhang, Xiaoyan
Zhang, Ruyang
Feng, Haikuan
Zhao, Xiaoqing
Li, Zhenhai
Li, Heli
Yang, Hao
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title_full Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title_fullStr Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title_full_unstemmed Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title_short Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
title_sort unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492853/
https://www.ncbi.nlm.nih.gov/pubmed/28713402
http://dx.doi.org/10.3389/fpls.2017.01111
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