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Review: New sensors and data-driven approaches—A path to next generation phenomics()

At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requi...

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Autores principales: Roitsch, Thomas, Cabrera-Bosquet, Llorenç, Fournier, Antoine, Ghamkhar, Kioumars, Jiménez-Berni, José, Pinto, Francisco, Ober, Eric S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ireland 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483971/
https://www.ncbi.nlm.nih.gov/pubmed/31003608
http://dx.doi.org/10.1016/j.plantsci.2019.01.011
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author Roitsch, Thomas
Cabrera-Bosquet, Llorenç
Fournier, Antoine
Ghamkhar, Kioumars
Jiménez-Berni, José
Pinto, Francisco
Ober, Eric S.
author_facet Roitsch, Thomas
Cabrera-Bosquet, Llorenç
Fournier, Antoine
Ghamkhar, Kioumars
Jiménez-Berni, José
Pinto, Francisco
Ober, Eric S.
author_sort Roitsch, Thomas
collection PubMed
description At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts.
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spelling pubmed-64839712019-05-02 Review: New sensors and data-driven approaches—A path to next generation phenomics() Roitsch, Thomas Cabrera-Bosquet, Llorenç Fournier, Antoine Ghamkhar, Kioumars Jiménez-Berni, José Pinto, Francisco Ober, Eric S. Plant Sci Article At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts. Elsevier Ireland 2019-05 /pmc/articles/PMC6483971/ /pubmed/31003608 http://dx.doi.org/10.1016/j.plantsci.2019.01.011 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Roitsch, Thomas
Cabrera-Bosquet, Llorenç
Fournier, Antoine
Ghamkhar, Kioumars
Jiménez-Berni, José
Pinto, Francisco
Ober, Eric S.
Review: New sensors and data-driven approaches—A path to next generation phenomics()
title Review: New sensors and data-driven approaches—A path to next generation phenomics()
title_full Review: New sensors and data-driven approaches—A path to next generation phenomics()
title_fullStr Review: New sensors and data-driven approaches—A path to next generation phenomics()
title_full_unstemmed Review: New sensors and data-driven approaches—A path to next generation phenomics()
title_short Review: New sensors and data-driven approaches—A path to next generation phenomics()
title_sort review: new sensors and data-driven approaches—a path to next generation phenomics()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483971/
https://www.ncbi.nlm.nih.gov/pubmed/31003608
http://dx.doi.org/10.1016/j.plantsci.2019.01.011
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