Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition

Liu, Y.; Xiao, Huaichun; Hao, Yong; Ye, L.; Jiang, Xiaogang; Wang, H.; Sun, Xudong

doi:10.1007/s10812-020-00976-6

Cited by 11 publications

(7 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can detect subtle molecular and biochemical changes in tissues [247] and can be conducted on living organisms, allowing the characterization of the chemical structure of tissues and distinguishment between normal and diseased tissues [248][249][250]. Liu et al [251], using this technique coupled with partial least squares discrimination analysis (PLS-DA), reached a correct recognition rate of 100% in detecting citrus greening bacterial disease (HLB), the most severe citrus disease caused by phloemlimiting bacteria.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Postharvest Technologies of Fresh Citrus Fruit: Advances and Recent Developments for the Loss Reduction during Handling and Storage

Strano¹,

Altieri

Allegra³

et al. 2022

Horticulturae

View full text Add to dashboard Cite

Citrus spp. are spread mainly in the Mediterranean basin and represent the largest fruit source for human consumption. Postharvest losses, mainly due to diseases and metabolic disorders of fruits, can cause severe wastage, reaching 30 to 50% of the total production. Preserving quality and extending shelf life are essential objectives for postharvest technological innovation, determined by the proper handling, treatment, storage and transport of harvested produce. Moreover, the application of novel sustainable strategies is critical for the reduction of synthetic fungicide residues on fruit surfaces and the impact on the environment caused by waste disposal of fungicides. In this article, the current knowledge about the safest and more sustainable strategies, as well as advanced postharvest handling and storage technologies, will be critically reviewed.

show abstract

Section: Raman Spectroscopymentioning

confidence: 99%

Postharvest Technologies of Fresh Citrus Fruit: Advances and Recent Developments for the Loss Reduction during Handling and Storage

Strano¹,

Altieri

Allegra³

et al. 2022

Horticulturae

View full text Add to dashboard Cite

show abstract

“…Despite the potential importance of metabolomics, molecular methods usage is also very important for accurately measuring both the qualitative and quantitative composition of a pathogen in a plant [ 184 , 185 ], and the verification of the pathogen diagnosis results [ 186 ]. It should be noted that in most studies, except for fungal infections, PCR or qPCR are used to verify Raman spectrometry data [ 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 ]. In contrast to RS, in hyperspectral remote sensing studies, the molecular methods of disease confirmation are statistically used rarely, being limited to other disease severity determination methods [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

“…In most RS-based plant disease studies, the authors used hand-held Raman spectrometers, as this is the most suitable for a future practical application. A number of authors have proved that Raman spectroscopy usage can determine plant diseases caused by all types of pathogens, e.g., viral [ 142 , 143 , 144 , 145 ], bacterial [ 146 , 147 , 148 , 149 ], and fungal [ 150 , 151 , 152 ]. The main aspects of Raman spectroscopy usage for plant disease detection were discussed in detail in the review by Farber et al (2019).…”

Section: New Technical Methods In Plant Protectionmentioning

confidence: 99%

Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review

Terentev

Долженко

2023

Sensors

View full text Add to dashboard Cite

The various areas of ultra-sensitive remote sensing research equipment development have provided new ways for assessing crop states. However, even the most promising areas of research, such as hyperspectral remote sensing or Raman spectrometry, have not yet led to stable results. In this review, the main methods for early plant disease detection are discussed. The best proven existing techniques for data acquisition are described. It is discussed how they can be applied to new areas of knowledge. The role of metabolomic approaches in the application of modern methods for early plant disease detection and diagnosis is reviewed. A further direction for experimental methodological development is indicated. The ways to increase the efficiency of modern early plant disease detection remote sensing methods through metabolomic data usage are shown. This article provides an overview of modern sensors and technologies for assessing the biochemical state of crops as well as the ways to apply them in synergy with existing data acquisition and analysis technologies for early plant disease detection.

show abstract

“…Other recent works on RS-based plant disease detection include (i) A handheld RSbased system for the detection of Abutilon mosaic virus (AbMV) in Abutilon (ornamental crop) was reported in [119] where spectra of leaves from healthy and infected plants were recorded, and difference in the intensity of the bands, particularly the one at 1526 cm −1 , was proposed as a basis for the early detection. An accuracy of 99% was reported with a coherent intensity variation across all bands which indicates the lack of specificity, and may occur due to general discoloration of the infected leaf; (ii) diagnosing of citrus greening (or HLB disease) from the Raman spectra of citrus leaves, obtained using a SENTERRA confocal microprobe Raman spectrometer [120]. The samples were divided in to five infection categories: serious, moderate, slight, nutrient deficient, and healthy.…”

Section: Non-imaging Spectroscopic Methodsmentioning

confidence: 99%

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

Kashyap

Kumar

2021

Inventions

View full text Add to dashboard Cite

Reducing agricultural losses is an effective way to sustainably increase agricultural output efficiency to meet our present and future needs for food, fiber, fodder, and fuel. Our ever-improving understanding of the ways in which plants respond to stress, biotic and abiotic, has led to the development of innovative sensing technologies for detecting crop stresses/stressors and deploying efficient measures. This article aims to present the current state of the methodologies applied in the field of agriculture towards the detection of biotic stress in crops. Key sensing methodologies for plant pathogen (or phytopathogen), as well as herbivorous insects/pests are presented, where the working principles are described, and key recent works discussed. The detection methods overviewed for phytopathogen-related stress identification include nucleic acid-based methods, immunological methods, imaging-based techniques, spectroscopic methods, phytohormone biosensing methods, monitoring methods for plant volatiles, and active remote sensing technologies. Whereas the pest-related sensing techniques include machine-vision-based methods, pest acoustic-emission sensors, and volatile organic compound-based stress monitoring methods. Additionally, Comparisons have been made between different sensing techniques as well as recently reported works, where the strengths and limitations are identified. Finally, the prospective future directions for monitoring biotic stress in crops are discussed.

show abstract

Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition

Cited by 11 publications

References 15 publications

Postharvest Technologies of Fresh Citrus Fruit: Advances and Recent Developments for the Loss Reduction during Handling and Storage

Postharvest Technologies of Fresh Citrus Fruit: Advances and Recent Developments for the Loss Reduction during Handling and Storage

Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

Contact Info

Product

Resources

About