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Editorial: Spectroscopy, imaging and machine learning for crop stress
| Autor principal: | |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10420075/ https://www.ncbi.nlm.nih.gov/pubmed/37575911 http://dx.doi.org/10.3389/fpls.2023.1240738 |
| _version_ | 1785088686248951808 |
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| author | Weng, Shizhuang |
| author_facet | Weng, Shizhuang |
| author_sort | Weng, Shizhuang |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10420075 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104200752023-08-12 Editorial: Spectroscopy, imaging and machine learning for crop stress Weng, Shizhuang Front Plant Sci Plant Science Frontiers Media S.A. 2023-07-28 /pmc/articles/PMC10420075/ /pubmed/37575911 http://dx.doi.org/10.3389/fpls.2023.1240738 Text en Copyright © 2023 Weng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Plant Science Weng, Shizhuang Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title | Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title_full | Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title_fullStr | Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title_full_unstemmed | Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title_short | Editorial: Spectroscopy, imaging and machine learning for crop stress |
| title_sort | editorial: spectroscopy, imaging and machine learning for crop stress |
| topic | Plant Science |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10420075/ https://www.ncbi.nlm.nih.gov/pubmed/37575911 http://dx.doi.org/10.3389/fpls.2023.1240738 |
| work_keys_str_mv | AT wengshizhuang editorialspectroscopyimagingandmachinelearningforcropstress |