ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Technical Advances in Plant Science
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1678760
Non-destructive Detection of Phyllostachys edulis under Salt Stress Using UHF RFID Based on Cole-Cole Model Optimization Algorithm
Provisionally accepted
- Nanjing Forestry University, Nanjing, China
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Salt stress disrupts the cellular osmotic balance of Phyllostachys edulis, significantly alters ion distribution in leaves, and thereby affects their dielectric properties. To meet the demand for nondestructive detection of salt stress, this study proposes a diagnostic method integrating multi-physics field coupling characteristics. Based on the mechanism by which salt stress regulates ion concentration in cell sap, the method constructs a Cole-Cole dielectric model detection framework by analyzing the intrinsic correlation between RFID backscattering signal features and the dielectric properties of media. To enhance the generalization ability of the model, the Particle Swarm Optimization (PSO) algorithm is innovatively improved. The improved algorithm (C-T-PSO) utilizes Chebyshev chaotic mapping to initialize the population and introduces a t-distribution dynamic perturbation mechanism to synergistically optimize key parameters of the Cole-Cole model. Experimental verification shows that the proposed C-T-PSO-Cole-Cole hybrid model exceeds 93% in core evaluation metrics (accuracy, precision, recall, F1-score), demonstrating its stability and high efficiency in complex environments. Comparative experiments with six representative swarm intelligence optimization algorithms further confirm the comprehensive superiority of the hybrid model. Convergence curve analysis based on standard test functions (Ackley, Sphere, etc.) also indicates that the C-T-PSO algorithm converges faster and more stably. Finally, the C-T-PSO-Cole-Cole hybrid model based on this algorithm successfully realizes non-destructive diagnosis of salt stress levels in Phyllostachys edulis using UHF RFID technology, with an accuracy of 95.3%, providing an effective real-time monitoring tool for the management of salinized soil in bamboo forests.
Keywords: Phyllostachys edulis, salt stress diagnosis, dielectric properties, C-T-PSO-Cole-Cole hybrid model, UHF RFID
Received: 03 Aug 2025; Accepted: 30 Sep 2025.
Copyright: © 2025 Zhang, Hou, Liu and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yanyi Liu, yyliu@njfu.edu.cn
Yin Wu, wuyin@njfu.edu.cn
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