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dc.contributor.authorGuo, W.
dc.contributor.authorCarroll, M.E.
dc.contributor.authorSingh, A.
dc.contributor.authorSwetnam, T.L.
dc.contributor.authorMerchant, N.
dc.contributor.authorSarkar, S.
dc.contributor.authorSingh, A.K.
dc.contributor.authorGanapathysubramanian, B.
dc.date.accessioned2021-08-13T20:58:48Z
dc.date.available2021-08-13T20:58:48Z
dc.date.issued2021
dc.identifier.citationGuo, W., Carroll, M. E., Singh, A., Swetnam, T. L., Merchant, N., Sarkar, S., Singh, A. K., & Ganapathysubramanian, B. (2021). UAS-based plant phenotyping for research and breeding applications. Plant Phenomics, 2021.
dc.identifier.issn2643-6515
dc.identifier.doi10.34133/2021/9840192
dc.identifier.urihttp://hdl.handle.net/10150/661225
dc.description.abstractUnmanned aircraft system (UAS) is a particularly powerful tool for plant phenotyping, due to reasonable cost of procurement and deployment, ease and flexibility for control and operation, ability to reconfigure sensor payloads to diversify sensing, and the ability to seamlessly fit into a larger connected phenotyping network. These advantages have expanded the use of UAS-based plant phenotyping approach in research and breeding applications. This paper reviews the state of the art in the deployment, collection, curation, storage, and analysis of data from UAS-based phenotyping platforms. We discuss pressing technical challenges, identify future trends in UAS-based phenotyping that the plant research community should be aware of, and pinpoint key plant science and agronomic questions that can be resolved with the next generation of UAS-based imaging modalities and associated data analysis pipelines. This review provides a broad account of the state of the art in UAS-based phenotyping to reduce the barrier to entry to plant science practitioners interested in deploying this imaging modality for phenotyping in plant breeding and research areas. Copyright © 2021 Wei Guo et al.
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science
dc.rightsCopyright © 2021 Wei Guo et al. Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUAS-based plant phenotyping for research and breeding applications
dc.typeArticle
dc.typetext
dc.contributor.departmentBIO5 Institute, University of Arizona
dc.contributor.departmentData Science Institute, University of Arizona
dc.identifier.journalPlant Phenomics
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitlePlant Phenomics
refterms.dateFOA2021-08-13T20:58:48Z


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Copyright © 2021 Wei Guo et al. Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0).
Except where otherwise noted, this item's license is described as Copyright © 2021 Wei Guo et al. Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0).