首页|期刊导航|Nano Research|Emerging plant wearable sensors:Materials,manufacturing,multiscale modeling,and applications

Emerging plant wearable sensors:Materials,manufacturing,multiscale modeling,and applicationsOA

中文摘要

Plant wearable sensors(PWSs)can obtain weak plant physiological information under complex agricultural environment in real time and multiple points,offering powerful tools for smart agriculture.However,research on PWSs started relatively late and is strongly interdisciplinary,leaving their development and application still facing challenges.It is therefore necessary to review and trace the evolution of PWSs to clarify their technological trajectory,highlight current progress,and recognize remaining challenges.Herein,PWSs are systematically discussed in terms of their development roadmap,categories,materials,energy-supply technologies,fabrication techniques,and applications.Furthermore,multiscale modeling,such as density functional theory,finite element analysis,and machine learning respectively provides insights from the atomic scale in charge transfer and interfacial interactions,the macro-meso scale in mechanical adaptability and structural reliability,and efficient data analysis,thus advancing the rational design and practical deployment of PWSs.Finally,a systematically curated table,complemented by a comparative radar chart analysis,provides an overview of reported devices by summarizing their key attributes while elucidating strengths and trade-offs for specific applications.This review not only provides guidance for proposing future design strategies and research directions,but also serves as a roadmap for advanced PWSs and facilitating their translation from laboratory research to applications.

Lulu Xu;Yufeng Wang;Bohai Zhang;Rongzhen Zhao;Shakeela Bibi;Hao Zhang;Xiaohan Zhang;Juanhua Zhu;Jieqiong Qin;Bin Tang;Jiandong Hu;Zhen Zhou;Junfeng Wu

Henan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,ChinaUnited Graduate School of Chinese Modern Agriculture(UGSCMA),Zhengzhou 450046,China Flavors and Fragrance Engineering&Technology Research Center of Henan Province,College of Tobacco Science,Henan Agricultural University,Zhengzhou 450046,ChinaUnited Graduate School of Chinese Modern Agriculture(UGSCMA),Zhengzhou 450046,China Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education),Nankai University,Tianjin 300071,ChinaSchool of Electrical Engineering,Department of Electrical Engineering and Automation,Aalto University,Espoo 02150,FinlandHenan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,ChinaHenan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,ChinaDepartment of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200240,ChinaHenan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,ChinaCollege of Science,Henan Agricultural University,Zhengzhou 450002,ChinaInterdisciplinary Research Center for Sustainable Energy Science and Engineering,School of Chemical Engineering,Zhengzhou University,Zhengzhou 450001,ChinaHenan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,ChinaInterdisciplinary Research Center for Sustainable Energy Science and Engineering,School of Chemical Engineering,Zhengzhou University,Zhengzhou 450001,ChinaHenan International Joint Laboratory of Laser Technology in Agriculture Sciences,College of Mechanical&Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,China

农业科技

plant wearable sensorssmart agriculturemanufacturing technologiesflexible electronicsfunctional materialsmultiscale modelingartificial intelligence(AI)

《Nano Research》 2026 (6)

P.635-665,31

This work is granted by Project of Henan Province Science and Technology Research and Development Plan Joint Fund(Application Breakthrough Category)(No.242103810027).

10.26599/NR.2026.94908482

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