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UAS-Based Plant Phenotyping for Research and Breeding Applications
Unmanned 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 con...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214361/ https://www.ncbi.nlm.nih.gov/pubmed/34195621 http://dx.doi.org/10.34133/2021/9840192 |
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author | Guo, Wei Carroll, Matthew E. Singh, Arti Swetnam, Tyson L. Merchant, Nirav Sarkar, Soumik Singh, Asheesh K. Ganapathysubramanian, Baskar |
author_facet | Guo, Wei Carroll, Matthew E. Singh, Arti Swetnam, Tyson L. Merchant, Nirav Sarkar, Soumik Singh, Asheesh K. Ganapathysubramanian, Baskar |
author_sort | Guo, Wei |
collection | PubMed |
description | Unmanned 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. |
format | Online Article Text |
id | pubmed-8214361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-82143612021-06-29 UAS-Based Plant Phenotyping for Research and Breeding Applications Guo, Wei Carroll, Matthew E. Singh, Arti Swetnam, Tyson L. Merchant, Nirav Sarkar, Soumik Singh, Asheesh K. Ganapathysubramanian, Baskar Plant Phenomics Review Article Unmanned 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. AAAS 2021-06-10 /pmc/articles/PMC8214361/ /pubmed/34195621 http://dx.doi.org/10.34133/2021/9840192 Text en Copyright © 2021 Wei Guo et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0). |
spellingShingle | Review Article Guo, Wei Carroll, Matthew E. Singh, Arti Swetnam, Tyson L. Merchant, Nirav Sarkar, Soumik Singh, Asheesh K. Ganapathysubramanian, Baskar UAS-Based Plant Phenotyping for Research and Breeding Applications |
title | UAS-Based Plant Phenotyping for Research and Breeding Applications |
title_full | UAS-Based Plant Phenotyping for Research and Breeding Applications |
title_fullStr | UAS-Based Plant Phenotyping for Research and Breeding Applications |
title_full_unstemmed | UAS-Based Plant Phenotyping for Research and Breeding Applications |
title_short | UAS-Based Plant Phenotyping for Research and Breeding Applications |
title_sort | uas-based plant phenotyping for research and breeding applications |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214361/ https://www.ncbi.nlm.nih.gov/pubmed/34195621 http://dx.doi.org/10.34133/2021/9840192 |
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