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Open AccessReview

Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application

1
Department of Biosystems & Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
2
Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Korea
3
Seeds Research, Syngenta Crop Protection LLC, Research Triangle Park, NC 27703, USA
4
Plant Bioscience, School of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
5
National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea
6
School of Computer Information and Communication Engineering, Kunsan National University, Kunsan 54150, Korea
*
Author to whom correspondence should be addressed.
These authors also contributed equally to this work.
Remote Sens. 2020, 12(6), 998; https://doi.org/10.3390/rs12060998
Received: 25 February 2020 / Revised: 11 March 2020 / Accepted: 19 March 2020 / Published: 20 March 2020
(This article belongs to the Section Remote Sensing in Agriculture and Vegetation)
Utilization of remote sensing is a new wave of modern agriculture that accelerates plant breeding and research, and the performance of farming practices and farm management. High-throughput phenotyping is a key advanced agricultural technology and has been rapidly adopted in plant research. However, technology adoption is not easy due to cost limitations in academia. This article reviews various commercial unmanned aerial vehicle (UAV) platforms as a high-throughput phenotyping technology for plant breeding. It compares known commercial UAV platforms that are cost-effective and manageable in field settings and demonstrates a general workflow for high-throughput phenotyping, including data analysis. The authors expect this article to create opportunities for academics to access new technologies and utilize the information for their research and breeding programs in more workable ways. View Full-Text
Keywords: high-throughput phenotyping; remote sensing; commercial unmanned aerial vehicle (UAV) platform high-throughput phenotyping; remote sensing; commercial unmanned aerial vehicle (UAV) platform
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MDPI and ACS Style

Jang, G.; Kim, J.; Yu, J.-K.; Kim, H.-J.; Kim, Y.; Kim, D.-W.; Kim, K.-H.; Lee, C.W.; Chung, Y.S. Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application. Remote Sens. 2020, 12, 998.

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