ArticleSensors (Basel, Switzerland)2017
Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Review
- A Novel Pattern Recognition Method for Non-Destructive and Accurate Origin Identification of Food and Medicine Homologous Substances with Portable Near-Infrared Spectroscopy.Molecules (Basel, Switzerland) · 2025Article
- A terahertz graphene-metamaterial sensor for highly sensitive detection of trace pesticide metaldehyde.PloS one · 2025Article
- Terahertz Spectroscopy in Assessing Temperature-Shock Effects on Citrus.Sensors (Basel, Switzerland) · 2024Article
- Research on the chemical oxygen demand spectral inversion model in water based on IPLS-GAN-SVM hybrid algorithm.PloS one · 2024Article
- Article
- Recent advances in gold nanoparticle-based lateral flow immunoassay for the detection of bacterial infection.Archives of microbiology · 2021Review
- Non-invasive measurement of leaf water content and pressure-volume curves using terahertz radiation.Scientific reports · 2020Article
- Past and Future of Plant Stress Detection: An Overview From Remote Sensing to Positron Emission Tomography.Frontiers in plant science · 2020Review
- THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content.Sensors (Basel, Switzerland) · 2019Article
- Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves.Plant methods · 2019Article
- Terahertz Time Domain Spectroscopy of Transformer Insulation Paper after Thermal Aging Intervals.Materials (Basel, Switzerland) · 2018Article
- Spectral Characterization and Molecular Dynamics Simulation of Pesticides Based on Terahertz Time-Domain Spectra Analyses and Density Functional Theory (DFT) Calculations.Molecules (Basel, Switzerland) · 2018Article
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Authors and funding
7 authors.
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Abstract
The terahertz (THz) spectra of rapeseed leaves with different water content (WC) were investigated. The transmission and absorption spectra in the range of 0.3-2 THz were measured by using THz time-domain spectroscopy. The mean transmittance and absorption coefficients were applied to analyze the change regulation of WC. In addition, the Savitzky-Golay method was performed to preprocess the spectra. Then, the partial least squares (PLS), kernel PLS (KPLS), and Boosting-PLS were conducted to establish models for predicting WC based on the processed transmission and absorption spectra. Reliable results were obtained by these three methods. KPLS generated the best prediction accuracy of WC. The prediction coefficient correlation (Rval) and root mean square error (RMSEP) of KPLS based on transmission were Rval = 0.8508, RMSEP = 0.1015, and that based on absorption were Rval = 0.8574, RMSEP = 0.1009. Results demonstrated that THz spectroscopy combined with modeling methods provided an efficient and feasible technique for detecting plant physiological information.
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