Plants can talk: a new era in plant acoustics.
airborne sounds
machine learning
plant bioacoustics
plant stress
sound transmission
Journal
Trends in plant science
ISSN: 1878-4372
Titre abrégé: Trends Plant Sci
Pays: England
ID NLM: 9890299
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
05
05
2023
revised:
19
06
2023
accepted:
19
06
2023
medline:
14
8
2023
pubmed:
3
7
2023
entrez:
2
7
2023
Statut:
ppublish
Résumé
Plants release chemical signals to interact with their environment when exposed to stress. Khait and colleagues unveiled that plants 'verbalize' stress by emitting airborne sounds. These can train machine learning models to identify plant stressors. This unlocks a new path in plant-environment interactions research with multiple possibilities for future applications.
Identifiants
pubmed: 37394307
pii: S1360-1385(23)00205-4
doi: 10.1016/j.tplants.2023.06.014
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Comment
Langues
eng
Sous-ensembles de citation
IM
Pagination
987-990Commentaires et corrections
Type : CommentOn
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.