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在盐应力下使用基于科尔-科尔模型优化算法的高频RFID非破坏性检测Phyllostachys edulis

Wen Zhang¹, Ziyang Hou¹, Yanyi Liu¹

¹The College of Information Science and Technology & Artificial Intelligence, Nanjing Forestry University, Nanjing, China.

Frontiers in plant science

|November 6, 2025

概括

本研究引入了一种非破坏性方法,用于检测Phyllostachys edulis中的盐应激,使用UHF RFID技术. 开发的混合模型通过分析介电性质来准确诊断盐应力,有助于竹林管理.

科学领域:

农业工程农业工程
生物物理学的生物物理.
遥感遥感遥感遥感

背景情况:

盐应激通过破坏透平衡和改变叶子离子分布,对Phyllostachys edulis产生负面影响.
离子度的变化会影响电站的介电性质,需要非破坏性检测方法.

研究的目的:

开发一种非破坏性诊断方法,用于Phyllostachys edulis.中的盐应激.
整合多物理场合特征用于盐应力检测.
分析RFID反射信号和介电性质之间的相关性.

主要方法:

基于盐应力诱导的离子度变化,建立了科尔-科尔介电模型检测框架.
为优化Cole-Cole模型参数,开发了一种改进的粒子集群优化 (C-T-PSO) 算法.
超高频无线电频率识别 (UHF RFID) 技术用于信号采集.

主要成果:

混合C-T-PSO-Cole-Cole模型在准确性,精度,回忆和F1得分方面取得了超过93%的成绩.
对比实验表明,拟议模型的优越性超过其他六个群集智能算法.
最终的模型使用超高频RFID准确诊断了P. edulis的盐应激,准确率为95.3%.

结论:

混合模型作为一个有效的实时监测工具,用于竹林的盐土管理.
该研究验证了通过对介电性质的分析来检测盐应力的可行性.
这种方法为可持续农业和精准农业提供了一个有希望的解决方案.

关键词:

这是一个C-T-PSO-Cole-Cole混合动力模型.菲洛斯塔基斯 (Phyllostachys edulis) 是一个的动物.在UHFRFID中,可以使用UHFRFID.介电性质介电性质介电性质盐的压力诊断盐的压力诊断.

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