Two different portables visible-near infrared and shortwave infrared region for on-tree measurement of soluble solid content of marian plum fruit

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dc.contributor.authorPosom, Jetsada
dc.contributor.authorSoonnamtiang, Navavit
dc.contributor.authorKotethum, Patcharapong
dc.contributor.authorKonjun, Pakhpoom
dc.contributor.authorSirisomboon, Panmanas
dc.contributor.authorSaengprachatanarug, Khwantri
dc.contributor.authorWongpichet, Seree
dc.date.accessioned2026-08-06T10:26:57Z
dc.date.available2026-08-06T10:26:57Z
dc.date.issued2020-01-01
dc.description.abstractThe goal of this study was to predict the soluble solid content (SSC) of on-tree Marian plum fruit using two different wavelength range and algorithm. One of these was the commercial dispersion NIR spectrometer (MicroNIR 1700), providing shortwave infrared (SWIR), while the other was a making diode array spectrometer giving visible-near infrared (Vis-NIR). To search optimal model, the analytical ability of the two wavelength ranges spectrometers coupled with two algorithms: i.e. partial least squares regression (PLSR) and support vector machine regression (SVR), were investigated. Different spectral pre-processing methods were tested. The model providing the lowest root mean square errors of prediction (RMSEP) was selected. Overall, the proposed outcome was that the performance of SWIR was more accurate than Vis-NIR spectrometer, and that both SWIR and Vis-NIR coupled with PLSR algorithm had a higher accuracy than SVR algorithm. The best model for on-tree evaluation SSC was the SWIR constructed using the PLSR algorithm with the spectral pre-processing of the 2<sup>nd</sup> derivative, providing a coefficient of determination of calibration set (R<sup>2</sup>) of 0.81, a coefficient of determination of validation set (r<sup>2</sup>) of 0.76, RMSEP of 0.69 °Brix, and a relative standard error of prediction (RSEP) of 4.43%. The outcome showed that a portable SWIR spectrometer developed with PLSR could be used for monitoring the SSC of individual Marian plum fruit on-tree for quality assurance.
dc.identifier.citationEngineering Journal, 24(5), 227-236, 2020
dc.identifier.doi10.4186/ej.2020.24.5.227
dc.identifier.issn01258281
dc.identifier.other2-s2.0-85092239558
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/10520
dc.sourceEngineering Journal
dc.subjectHandheld NIR spectrometer
dc.subjectOn-tree measurement
dc.subjectPartial least squares regression
dc.subjectSoluble solids content
dc.subjectSupport vector machine regression
dc.titleTwo different portables visible-near infrared and shortwave infrared region for on-tree measurement of soluble solid content of marian plum fruit
dc.typeArticle

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