Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Дистанционное зондирование с использованием беспилотных летательных аппаратов для фенотипирования сельскохозяйственных культур в полевых условиях: современное состояние и перспективы
2017-06-30
SCID: 54.1/bz7w7t6x
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UAV remote sensingfield-based crop phenotypinghigh-throughput phenotypingmultisensor platformsphenotypic traits
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Abstract (AI)
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.
Key Findings
1
Compared with manual sampling, UAV-based phenotyping reduces labor and time requirements while supporting on-demand data acquisition and flexible field operation.
2
The review summarizes UAV platform and sensor selection, analytical methods, typical applications, and challenges for field-based crop phenotyping.
3
UAV platforms can estimate important crop traits, including plant height, leaf color, leaf area index, chlorophyll content, biomass, and yield.
4
UAV remote sensing provides theoretical and technical support for linking phenotypic and genomic information and advancing crop improvement.
5
UAV remote-sensing platforms equipped with multiple sensors enable rapid, non-destructive, high-throughput field phenotyping at high spatial resolution.
Research Object
Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) for field-based crop phenotyping
Research Subject
high-throughput, rapid, non-destructive acquisition and analysis of crop phenotypic traits in field environments using UAV remote sensing
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2017-06-30
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