Nondestructive Detection of Soluble Solids Content on Navel Orange with Vis/NIR Based on Genetic Algorithm

Long, 薛龙 Xue; Jing, 黎静 Li; Muhua, 刘木华 Liu; Xiao, 王晓 Wang; Chunsheng, 罗春生 Luo

doi:10.3788/lop47.123001

Cited by 6 publications

(7 citation statements)

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“…According to Ref. [1], the multivariate spectral scatter correction (MSC) technique is employed. The selected spectral range is 840-1700nm.…”

Section: Experiments Materials and Methodsmentioning

confidence: 99%

“…The wavelength selecting method is the same as in Ref. [1], which also used genetic algorithm, while in this study the GEP instead of PLS is adopted for prediction.…”

Section: Experiments Materials and Methodsmentioning

confidence: 99%

“…With the continuous improvement of people's living standards, the fruit quality requirements are more important, that it is no longer confined to the external quality, the internal quality indicators, such as sugar and acidity, also have been highly valued. Navel oranges are one of the most popular varieties of sweet oranges for its specialty such as seedless, juicy, bright color, and nondestructive detection of soluble solids content (also known as Brix) in navel oranges has great practical value [1].…”

Section: Introductionmentioning

confidence: 99%

“…So it can be difficult to assign specific features to specific chemical components. Multivariate calibration algorithms, e.g., principal components regression (PCA) [7][8][9], genetic algorithm (GA) [1], partial least squares (PLS) [6], or artificial neural networks (ANN) [8] are often employed to extract the desired chemical information. However, many of these algorithms lead to a large computation burden and are rather numerically time consuming.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [1], genetic algorithm was adopted to select the characteristic wavelengths. The number of the spectral data for modeling was reduced from the full-spectrum number 1341 to 446, and an even better modeling effect was obtained.…”

Section: Introductionmentioning

confidence: 99%

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Nondestructive Detection of Soluble Solids Content in Navel Orange Based on GEP Algorithm

Huang

Yang

Liao

et al. 2014

AMR

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A rapid quantification technique was developed and validated for nondestructively quantifying the soluble solids content of navel orange using NIR spectroscopy in conjunction with Gene expression programming (GEP) algorithm and genetic algorithm (GA).The spectra were recorded in the NIR region using the fiber optic probe method. Four data points of the navel orange NIR spectra were selected by GEP algorithm and genetic algorithm by cross validation. In our experiment, the mean standard error Ribetween the prediction values and the real values in the train group is 0.0256, and the validation group is 0.0194, the results show that the proposed method can be built to a concise easily computed model, which has higher accuracy.

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“…According to Ref. [1], the multivariate spectral scatter correction (MSC) technique is employed. The selected spectral range is 840-1700nm.…”

Section: Experiments Materials and Methodsmentioning

confidence: 99%

“…The wavelength selecting method is the same as in Ref. [1], which also used genetic algorithm, while in this study the GEP instead of PLS is adopted for prediction.…”

Section: Experiments Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations