Application of NIR Spectroscopy in Classification of Plant Species

Guo, Tuan; Lin, Guiping; Wang, Xiaohui; Li, Min

doi:10.1109/etcs.2009.734

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Soil is a strategic resource for human survival and prosperity. Food, fiber and other essential materials that are necessary for human survival and life are closely related to soil [2]. Soil refers to the loose surface of the land surface with fertility characteristics and can grow plants.…”

Section: Main Source Of Pollutionmentioning

confidence: 99%

Soil Pollution Status, Sources and Control Methods in China

2024

AJST

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Soil is the solid foundation for our survival and development. With the progress of society, our country pays more and more attention to soil pollution. Soil pollution can cause the quality and yield of agricultural products to decline, pollute groundwater and surface water resources, affect air quality, lead to soil pollution in regional areas, and cause the destruction of ecological environment and the sharp decline of biodiversity. These problems will affect China's future sustainable development and social stability, so a detailed analysis of the sources of soil pollution is conducive to analyzing the nature of pollutants and pollution methods, which plays an important role in the prevention and control of soil pollution. And to introduce to the public some new technologies of soil pollution control, new ideas and the future direction of soil remediation.

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Section: Main Source Of Pollutionmentioning

confidence: 99%

Soil Pollution Status, Sources and Control Methods in China

2024

AJST

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“…Infrared spectroscopy of leaves has surprising potential to aid in the taxonomy and systematics of plants [22][23][24][25][26][27][28][29][30]. This is due to the fact that the spectral behavior of a leaf is a function of its chemical composition, morphology and internal structure, data that help in the recognition of species [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Use of Near Infrared Spectroscopy (NIRS) as a tool to discriminate species of the genus Dimorphandra Schott (Leguminosae: Caesalpinioideae)

Sousa da Silva,

Hopkins

2024

Sci. Plena

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This work aimed to use near-infrared spectroscopy (NIRS) as a tool to discriminate species of the genus Dimorphandra Schott (Leguminosae, Caesalpinioideae). Spectra were collected from 315 individuals (six readings per individual) distributed in 20 species of Dimorphandra using a Thermo Nicollet spectrophotometer, FT-NIR Antaris II Method Development System (MDS) in the INPA (National Institute of Amazonian Research) Herbarium. Absorbance values comprise the wavenumbers from 4,000 to 10,000 cm-1, corresponding to the near infrared region, recorded for 16 scans at a resolution of 8 cm-1. Principal Component Analysis (PCA) was used to visualize the spectral distribution. Discriminant functions were generated in order to evaluate the potential of the data to correctly distinguish the species and the 70-30 cross-validation technique was used to validate the generated models, with selections randomized 1, 10, 50 and 100 times. Excellent results were obtained in the PCA, with prediction values of 95-92%, using the 70-30 validation test in the linear discriminant analyses (LDA), thus indicating high predictive power in the discrimination of species of the genus Dimorphandra. Thus, it is inferred that NIRS contributes to the discrimination of species of the genus and elucidation of taxonomic problems.

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“…Though Near Infrared Spectroscopy (NIRS) [12,13] has been the automated optical method of choice in range animal ecology research, fluorometry [14] appears promising because of its practical differences ( Table 1). NIRS [19] as well as fluorometry have the potential to differentiate among plant species. However, within plant life forms, i.e., grasses, forbs and shrubs; it may be challenging to fluorometrically identify individual species without employing appropriate analytical tools.…”

Section: Introductionmentioning

confidence: 99%

Differentiating Among Plant Spectra by Combining pH Dependent Photoluminescence Spectroscopy with Multi-Way Principal Component Analysis (MPCA)

Anderson

Danielson²,

Obeidat³

et al. 2011

TOASJ

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Photoluminescence spectroscopic probes offer the potential for differentiation among plant species in real-time. Since pH has been shown to be pivotal in affecting extraction efficiency of other plant compounds pH seemed appropriate as an additional dimension within our multi-way principal component analysis (MPCA) to differentiate among six different plant species. In particular, MPCA allowed differentiation between Sporobolus and Pleuraphis that was not possible using only principal component analysis (PCA). This research suggests MPCA may be a more appropriate tool than PCA when attempting to discriminate among plant species.

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Application of NIR Spectroscopy in Classification of Plant Species

Cited by 4 publications

References 7 publications

Soil Pollution Status, Sources and Control Methods in China

Soil Pollution Status, Sources and Control Methods in China

Use of Near Infrared Spectroscopy (NIRS) as a tool to discriminate species of the genus Dimorphandra Schott (Leguminosae: Caesalpinioideae)

Differentiating Among Plant Spectra by Combining pH Dependent Photoluminescence Spectroscopy with Multi-Way Principal Component Analysis (MPCA)

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