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Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring

Wearable plant sensors hold tremendous potential for smart agriculture. We report a lower leaf surface-attached multimodal wearable sensor for continuous monitoring of plant physiology by tracking both biochemical and biophysical signals of the plant and its microenvironment. Sensors for detecting v...

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Detalles Bibliográficos
Autores principales: Lee, Giwon, Hossain, Oindrila, Jamalzadegan, Sina, Liu, Yuxuan, Wang, Hongyu, Saville, Amanda C., Shymanovich, Tatsiana, Paul, Rajesh, Rotenberg, Dorith, Whitfield, Anna E., Ristaino, Jean B., Zhu, Yong, Wei, Qingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096584/
https://www.ncbi.nlm.nih.gov/pubmed/37043563
http://dx.doi.org/10.1126/sciadv.ade2232
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author Lee, Giwon
Hossain, Oindrila
Jamalzadegan, Sina
Liu, Yuxuan
Wang, Hongyu
Saville, Amanda C.
Shymanovich, Tatsiana
Paul, Rajesh
Rotenberg, Dorith
Whitfield, Anna E.
Ristaino, Jean B.
Zhu, Yong
Wei, Qingshan
author_facet Lee, Giwon
Hossain, Oindrila
Jamalzadegan, Sina
Liu, Yuxuan
Wang, Hongyu
Saville, Amanda C.
Shymanovich, Tatsiana
Paul, Rajesh
Rotenberg, Dorith
Whitfield, Anna E.
Ristaino, Jean B.
Zhu, Yong
Wei, Qingshan
author_sort Lee, Giwon
collection PubMed
description Wearable plant sensors hold tremendous potential for smart agriculture. We report a lower leaf surface-attached multimodal wearable sensor for continuous monitoring of plant physiology by tracking both biochemical and biophysical signals of the plant and its microenvironment. Sensors for detecting volatile organic compounds (VOCs), temperature, and humidity are integrated into a single platform. The abaxial leaf attachment position is selected on the basis of the stomata density to improve the sensor signal strength. This versatile platform enables various stress monitoring applications, ranging from tracking plant water loss to early detection of plant pathogens. A machine learning model was also developed to analyze multichannel sensor data for quantitative detection of tomato spotted wilt virus as early as 4 days after inoculation. The model also evaluates different sensor combinations for early disease detection and predicts that minimally three sensors are required including the VOC sensors.
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spelling pubmed-100965842023-04-13 Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring Lee, Giwon Hossain, Oindrila Jamalzadegan, Sina Liu, Yuxuan Wang, Hongyu Saville, Amanda C. Shymanovich, Tatsiana Paul, Rajesh Rotenberg, Dorith Whitfield, Anna E. Ristaino, Jean B. Zhu, Yong Wei, Qingshan Sci Adv Physical and Materials Sciences Wearable plant sensors hold tremendous potential for smart agriculture. We report a lower leaf surface-attached multimodal wearable sensor for continuous monitoring of plant physiology by tracking both biochemical and biophysical signals of the plant and its microenvironment. Sensors for detecting volatile organic compounds (VOCs), temperature, and humidity are integrated into a single platform. The abaxial leaf attachment position is selected on the basis of the stomata density to improve the sensor signal strength. This versatile platform enables various stress monitoring applications, ranging from tracking plant water loss to early detection of plant pathogens. A machine learning model was also developed to analyze multichannel sensor data for quantitative detection of tomato spotted wilt virus as early as 4 days after inoculation. The model also evaluates different sensor combinations for early disease detection and predicts that minimally three sensors are required including the VOC sensors. American Association for the Advancement of Science 2023-04-12 /pmc/articles/PMC10096584/ /pubmed/37043563 http://dx.doi.org/10.1126/sciadv.ade2232 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Lee, Giwon
Hossain, Oindrila
Jamalzadegan, Sina
Liu, Yuxuan
Wang, Hongyu
Saville, Amanda C.
Shymanovich, Tatsiana
Paul, Rajesh
Rotenberg, Dorith
Whitfield, Anna E.
Ristaino, Jean B.
Zhu, Yong
Wei, Qingshan
Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title_full Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title_fullStr Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title_full_unstemmed Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title_short Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
title_sort abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096584/
https://www.ncbi.nlm.nih.gov/pubmed/37043563
http://dx.doi.org/10.1126/sciadv.ade2232
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