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首页|期刊导航|华中农业大学学报|面向植物生长监测的纳米传感器:工作机制与系统集成应用示例

面向植物生长监测的纳米传感器:工作机制与系统集成应用示例

叶婷 罗真 徐雯颍 李家其 张友昌 王孝刚 宋智勇

华中农业大学学报2026,Vol.45Issue(3):18-33,16.
华中农业大学学报2026,Vol.45Issue(3):18-33,16.DOI:10.13300/j.cnki.hnlkxb.2026.03.002

面向植物生长监测的纳米传感器:工作机制与系统集成应用示例

Nano-sensors for monitoring plant growth:working principles and examples of system integration in applications

叶婷 1罗真 2徐雯颍 2李家其 2张友昌 3王孝刚 3宋智勇4

作者信息

  • 1. 武汉船舶职业技术学院计算机信息技术学院,武汉 430050||华中农业大学作物纳米生物学与技术中心,武汉 430070
  • 2. 华中农业大学作物纳米生物学与技术中心,武汉 430070
  • 3. 湖北省农业科学院经济作物研究所,武汉 430064
  • 4. 华中农业大学作物纳米生物学与技术中心,武汉 430070||华中农业大学化学学院,武汉 430070
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摘要

Abstract

The development of intelligent agriculture urgently needs to transcend traditional environ-mental monitoring to achieve precise and real-time perception of the internal physiological state of plants.Nano-sensors provide unprecedented technological tools for the in situ,non-destructive,and dynamic analy-sis of plant physiological processes due to its ultra-high sensitivity,excellent specificity,and good biocom-patibility with biological systems brought about by nanoscale effects.This article systematically reviewed the principles of design,material systems,and cutting-edge applications of nano-sensors for monitoring plant growth,with a focus on analyzing the mechanisms and efficacy of nano-sensors in the dynamic detec-tion of key physiological signaling molecules including H₂O₂,Ca²+,phytohormones within plants.The new challenges and emerging solutions presented by the unique properties of nano-sensing data including near-in-frared fluorescence imaging and high-frequency electrochemical signals for agricultural Internet of Things(IoT),data mining,and intelligent modeling were discussed.The full-chain integration pathway from data acquisition and intelligent processing to decision support was elaborated in detail by combining an example of an"Intelligent planting analysis system"that integrates multi-source nano-sensing data.The bottlenecks and development directions of nano-sensors in moving towards large-scale field applications in the future was systematically prospected from four dimensions including material innovation,intelligent anti-interfer-ence,system integration,and risk assessment.It will provide a solid theoretical reference for studying the intersection of intelligent agriculture and nanotechnology.

关键词

纳米传感器/智慧农业/植物生理监测/信号处理/数据融合/生物相容性/精准农业

Key words

nano-sensors/intelligent agriculture/monitoring plant physiology/processing signal/da-ta fusion/biocompatibility/precise agriculture

分类

农业科技

引用本文复制引用

叶婷,罗真,徐雯颍,李家其,张友昌,王孝刚,宋智勇..面向植物生长监测的纳米传感器:工作机制与系统集成应用示例[J].华中农业大学学报,2026,45(3):18-33,16.

基金项目

国家自然科学基金项目(22577034) (22577034)

国家级大学生创新创业训练计划项目(202210504006) (202210504006)

华中农业大学学报

1000-2421

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