Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)

Milori, Débora Marcondes Bastos Pereira; Raynaud, Michel; Boas, Paulino Ribeiro Villas; Veníncio, André Leonardo; Mounier, Stéphane; Bassanezi, R. B.; Redon, Roland

doi:10.1016/j.compag.2013.03.008

Cited by 12 publications

(13 citation statements)

References 20 publications

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“…18,19 The results showed that this technique was able to discriminate the different citrus varieties in a nursery. Milori et al 18 used an excitation laser of 561 nm and showed that LIFS combined with statistical methods is able to discriminate different citrus varieties. Several statistical tests, such as principal component regression (PCR), partial least squares regression (PLS), and factorial discriminant analysis (FDA), were assessed as classification methods for each sample class.…”

Section: Introductionmentioning

confidence: 95%

“…23,24 Their applications in agriculture, biology, and botanics has been published in a numerous of reviews in the last 20 years. 18,[23][24][25][26][27][28][29] Laser-induced fluorescence spectroscopy has an optical configuration which allows non-invasive interaction with the sample. Thus, the tool can be made very compact for the development of field devices and incorporated in agricultural vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…These changes are successfully identified by optical techniques because it alters the characteristic optical signature of the leaves from each accession and discriminate them among its genetics. 9,18,19 Two different LIFS systems, one with excitation wavelength at 405 nm and the other one with excitation wavelength at 561 nm, combined with chemometric tools, were used to discriminate these sweet oranges varieties. The evaluation was performed in two different sets of leaves, from ten different citrus varieties in each set collected in two different seasons: the first one in winter time and the second one in summer time.…”

Section: Introductionmentioning

confidence: 99%

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Laser-induced Fluorescence Spectroscopy (LIFS) for Discrimination of Genetically Close Sweet Orange Accessions (Citrus sinensis L. Osbeck)

et al. 2016

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Although there is substantial diversity among cultivated sweet oranges genotypes with respect to morphological, physiological, and agronomic traits, very little variation at DNA level has been observed. It is possible that this low DNA molecular variability is due to a narrow genetic basis commonly observed in this citrus group. The most different morphological characters observed were originated through mutations, which are maintained by vegetative propagation. Despite all molecular tools available for discrimination between these different accessions, in general, low polymorphism has been observed in all groups of sweet oranges and they may not be identified by molecular markers. In this context, this paper describes the results obtained by using laser-induced fluorescent spectroscopy (LIFS) as a tool to discriminate sweet orange accessions ( Citrus sinensis L. Osbeck) including common, low acidity, pigmented, and navel orange groups, with very little variation at DNA level. The findings showed that LIFS combined with statistical methods is capable to discriminate different accessions. The basic idea is that citrus leaves have multiple fluorophores and concentration depends on their genetics and metabolism. Thus, we consider that the optical properties of citrus leaves may be different, depending on variety. The results have shown that the developed method, for the best classification rate, reaches an average sensitivity and specificity of 95% and 97.5%, respectively. An interesting application of this study is the development of an economically viable tool for early identification in seedling certification, in citrus breeding programs, in cultivar protection, or in germplasm core collection.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Laser-induced Fluorescence Spectroscopy (LIFS) for Discrimination of Genetically Close Sweet Orange Accessions (Citrus sinensis L. Osbeck)

et al. 2016

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“…It is the combination of PLS for dimension reduction and LDA for classification. PLS maximizes the covariance between the response variable (class membership) and the input variables (wavelengths), whereas LDA finds a linear combination of the new projections that minimizes the ratio of the withinclass variance to between-class variance [34]. In the present study, PLS-LDA and Monte Carlo cross-validation (MCCV) [35] were used for establishing calibration models for classification of blackheart potatoes.…”

Section: Discriminant Analysis For Classification and Predictionmentioning

confidence: 99%

Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy

Zhou

Songwei

et al. 2015

Journal of Spectroscopy

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The possibility of using visible/near infrared (Vis/NIR) transmission spectroscopic technique in the 513–850 nm region coupled with partial least squares-linear discriminant analysis (PLS-LDA) and other chemometric methods to classify potatoes with blackheart was investigated. The discrimination performance of different morphological correction methods, including weight correction, height correction, and volume correction, was compared. The results showed that height corrected transmittance has the best performance, with both calibration and validation sets having a success rate of 97.11%. Out of 1800 wavelengths, only six wavelengths (711, 817, 741, 839, 678, and 698 nm) were selected as the optimum wavelengths for the discrimination of blackheart tubers based on principal component analysis (PCA). The data analysis showed that the overall classification rate by PLS-LDA method decreased from 97.11% to 96.82% in calibration set and from 97.11% to 96.53% in validation set, which was acceptable. The importance of these conclusions may be helpful to transfer Vis/NIR transmission technology from laboratory to industrial application in nondestructive, real-time, or portable measurement of potatoes quality.

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“…Cameras are also used to detect to curve path (JIANG et al, 2013), (PAPADAKIS, 2013). LIF Laser Induced Fluorence spectroscopy has been applied to identify varieties of citrus (MILORI et al, 2013). Huanglongbing has been detected with the use of infrared spectroscopy (CARDINALI et al, 2012).…”

Section: Scouting Tasksmentioning

confidence: 99%

Design of a Rover to precision agriculture applications

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Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS)

Cited by 12 publications

References 20 publications

Laser-induced Fluorescence Spectroscopy (LIFS) for Discrimination of Genetically Close Sweet Orange Accessions (Citrus sinensis L. Osbeck)

Laser-induced Fluorescence Spectroscopy (LIFS) for Discrimination of Genetically Close Sweet Orange Accessions (Citrus sinensis L. Osbeck)

Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy

Design of a Rover to precision agriculture applications

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