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基于太赫兹和高光谱成像技术的茶叶冻害检测与评价

发布时间:2022-05-02 19:10
  中国的茶产量处于世界领先地位,但其生长在环境湿润和温暖的丘陵地带,易受低温冻害的影响和制约。为了增加产量,需要通过快速冻害检测技术保护植物免受霜冻损害。这些技术可以评估半死亡临界温度和临界寒冷温度以及鉴定耐寒品种。目前,提出最有效的冻害检测技术非常具有挑战性,这种检测技术可以快速提供所需的有效霜冻保护策略信息,帮助减少茶农的生产损失。近年来,太赫兹光谱和高光谱成像技术已被用于评估食物和作物因冻结而引起的生理特性的变化。并与其他技术结合,对自身的属性进行综合分析。太赫兹技术在损伤检测方面有卓越的应用。因此,太赫兹技术可以用来区分冻害的叶片和正常叶片,它们在太赫兹波段具有独特的光谱信息。此外,细胞损伤的程度与从冻害细胞中逸出的水之间存在直接相关性,这使得太赫兹光谱响应与叶损伤的程度成比例相关。同时,从叶片中流出的水减少了太赫兹波透过的光路长度,导致更高的吸收。虽然茶叶样品来自同一品种,但由于样品的化学组成不同,样品的吸收光谱可能会有所不同。因此,本研究的主要研究内容如下:(1)当组织受到0至-10°的冻害时,通过相对电导率(REC)、损伤指数和死亡临界温度(LT50)... 

【文章页数】:132 页

【学位级别】:博士

【文章目录】:
Abstract
中文摘要
Nomenclature
Chapter1 Introduction
    1.1 Cold damage risk in tea fields of temperate regions
    1.2 Physiognomies of Relative electrical conductivity and lethal temperature(LT50)
    1.3 Applications of terahertz time-domain spectroscopy in crop research
    1.4 Significance and objectives of the study
    1.5 Main content and dissertation organization
Chapter2 Literature Review
    2.1 Assessment of Plant Physiological Properties by Non-Destructive Techniques
        2.1.1 Terahertz(THz)Technology
        2.1.2 Chemometric Techniques in THz Spectroscopy
    2.2 Trends of Terahertz Spectroscopy and Hyperspectral imaging applications in crops
        2.2.1 Terahertz Spectroscopy
        2.2.2 Hyperspectral imaging
        2.2.3 Technical challenges with Hyperspectral imaging
    2.4 Frost Protection Methods
    2.5 Working Principle of Air Disturbance Technology for Crop Frost Protection
        2.5.1 Working Principle of the Technology
        2.5.2 Merits and Demerits of Ground Air Disturbance System
        2.5.3 Merits and Demerits of Aerial Air Disturbance System
        2.5.4 Control Strategies of Air Disturbance Technology
    2.6 Summary
Chapter3 Cold Tolerance Assessment for Tea by Relative Electrical Conductivity and Terahertz Time-Domain Spectroscopy
    3.1 Introduction
    3.2 Materials and Methods
        3.2.1 Tea plant samples preparation
        3.2.2 Determination of freezing tolerance of tea leaf
        3.2.3 Spectra assessment of freezing injury
        3.2.4 Signal processing of terahertz waveforms
        3.2.5 Critical temperature determination
        3.2.6 Determination of LT_(50)
        3.2.7 Statistical evaluation of THz spectra response performance
    3.3 Results and discussions
        3.3.1 Physiognomies of REC and the rate of cell injury
        3.3.2 The fitting equation and LT_(50)
    3.4 Spectra analysis
        3.4.1 Power spectrum
        3.4.2 Absorbance spectrum
        3.4.3 Phase shift spectrum
    3.5 Statistical comparison of the plant species
    3.6 Conclusions
Chapter4 Quantitative Analysis of NPK Effect on Freezing Injury for Tea(Camellia Sinensis)by Terahertz Spectroscopy
    4.1 Introduction
    4.2 Materials and Methods
        4.2.1 Tea plant samples preparation
        4.2.2 Spectra assessment of freezing tolerance
        4.2.3 Signal processing of terahertz waveforms
        4.2.4 Computation of2D correlation spectroscopy
        4.2.5 Statistical evaluation of Model performance
    4.3 Results and Discussion
        4.3.1 Spectra analysis of NPK effect
        4.3.2 Multivariate analysis by2DCoS-PLSR model
    4.4 Conclusions and Recommendation
Chapter5 Quantitative Assessment of Freezing Temperature Perturbation Effect on Cold Injury by Terahertz Spectroscopy Coupled with 2DCOS-PLSR Model
    5.1 Introduction
    5.2 Materials and Methods
        5.2.1 Tea plant samples preparation
        5.2.2 Spectra assessment of freezing tolerance
        5.2.3 Signal processing of terahertz waveform
        5.2.4 Computation of2D correlation spectroscopy
        5.2.5 Statistical evaluation of Model performance
    5.3 Results and Discussion
        5.3.1 Spectral analysis of freezing temperature effect
        5.3.2 Multivariate analysis by AI-PLSR and2DCOS-PLSR model
    5.4 Conclusions
Chapter6 Assessment of Nitrogen Effect on Cold Tolerance for Tea By Hyperspectral Reflectance with PLSR,PCR,and LM Models
    6.1 Introduction
    6.2 Materials and Methods
        6.2.1 Tea plant samples preparation
        6.2.2 Measurement of leaf reflectance
        6.2.3 Image processing
        6.2.4 Defect detection by Principal component analysis
    6.3 Results and discussions
        6.3.1 Characteristics of tea leaf spectrum and normalization
        6.3.2 Characteristics of tea leaf spectrum
        6.3.3 Freezing reflectance quantification using multivariate statistical models
    6.4 Conclusion
Chapter7 General Conclusions,Recommendations and Innovations
    7.1 General Conclusions
    7.2 Innovations/Novelty
    7.3 Recommendations for Future Works
Acknowledgements
References
Publications
Related Research Projects
Appendix


【参考文献】:
期刊论文
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[2]棉花冠层高光谱参数与叶片氮含量的定量关系[J]. 吴华兵,朱艳,田永超,姚霞,刘晓军,周治国,曹卫星.  植物生态学报. 2007(05)
[3]西瓜可溶性固形物含量近红外透射检测技术[J]. 田海清,应义斌,徐惠荣,陆辉山,傅霞萍.  农业机械学报. 2007(05)



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