한빛사논문
- 조회825
Giwon Lee1,2,3, Oindrila Hossain1, Sina Jamalzadegan1, Yuxuan Liu2, Hongyu Wang2, Amanda C. Saville4, Tatsiana Shymanovich4, Rajesh Paul1, Dorith Rotenberg4,5,Anna E. Whitfield4,5, Jean B. Ristaino4,5, Yong Zhu2*, Qingshan Wei1,5*
1Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
2Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.
3Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea.
4Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA.
5Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC 27695, USA.
*Correspondingauthor: Yong Zhu, QingshanWei
Abstract
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.
논문정보
- Research article
- 2023년 04월 (BRIC 등록일 2023-04-14)
- 국내+국외 연구진
- 바이오·의료융합 > 바이오센싱 및 나노바이오물질
관련 보도자료
- Bio통신원
- 2023. 04. 18
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