Prediction of banana quality indices from color features using support vector regression

Sanaeifar, Alireza; Bakhshipour, Adel; Guárdia, Miguel de la

doi:10.1016/j.talanta.2015.10.073

Cited by 106 publications

(40 citation statements)

References 42 publications

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“…Support vector machine is one of the machine learning methods that has recently become popular and widely investigated (Sanaeifar, Bakhshipour, & de la Guardia, ). In this study, a radial basis function (RBF) kernel was used as the kernel function in support vector regression (SVR) model.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Firmness and pH for “Golden Delicious” Apple Based on Elasticity Index from Modal Analysis

Hou

Zhang

Sun

et al. 2018

Journal of Food Science

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Section: Methodsmentioning

confidence: 99%

Prediction of Firmness and pH for “Golden Delicious” Apple Based on Elasticity Index from Modal Analysis

Hou

Zhang

Sun

et al. 2018

Journal of Food Science

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“…Computer vision, compared with traditional color measurement instruments, is a nondestructive, noncontact, low‐priced, more adaptable, and time‐saving color measurement technology. It has been used for analyzing an image of a sample by computers to obtain information about its color, texture, morphological elements, and defects …”

Section: Introductionmentioning

confidence: 99%

“…It has been used for analyzing an image of a sample by computers to obtain information about its color, texture, morphological elements, and defects. [10][11][12][13][14] Hyssop (Hyssopus officinalis L.) is one of the most important medicinal plants, which is widely cultivated in central and south European countries, including Russia, Spain, France, and Italy. 15 Hyssop could be contaminated by different micro-organisms.…”

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confidence: 99%

Effects of cold plasma on the color parameters of Hyssop (Hyssopus officinalis L.) using color imaging instrumentation and spectrophotometer

Rezaei

Ghobadian

Ebadi

et al. 2019

Color Research & Application

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This research was conducted to evaluate the effects of cold atmospheric plasma treatment on the color of Hyssop (Hyssopus officinalis L.) and also to compare the usage of the spectrophotometer vs the color imaging instrumentation for the evaluation of the treatment on the color parameters. The experiments were investigated at different treatment times of 1, 5, and 10 minutes and the voltage values of 17, 20, and 23 kV. Possible changes of color were evaluated by using CIE L*a*b* values obtained with HunterLab colorimeter and CIE L*a*b* values obtained with a digital still camera (DSC) using digital image processing (MATLAB software). The values of L*, a*, and b* of the samples were obtained using both the methods. The results revealed that the L*, a*, and b* values of the treated Hyssop samples changed with increasing the treatment time and the voltage applied. Evaluating the interaction effects revealed that there was a significant difference in the (−a*/b*) ratio. In addition, the results showed that the effects of all variables on the color parameters were significantly different in the case of the DSC using digital image processing. However, these effects were not significantly different using HunterLab colorimeter except for time variable and interaction effects of a* and (−a*/b*) ratio. The lightest green color and the maximum chlorophyll content loss were observed for 23 kV applied over 10 minutes. Based on the results, the digital image processing can be used as a practical tool to study the variations at the color of dried Hyssop leaves after cold plasma treatment.

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“…Resultados estatisticamente superiores foram verificados por vários autores para cultivares do mesmo grupo genômico (Cerqueira et al, 2002;Bezerra & Dias, 2009). Esta variação nos teores de SST pode ocorrer de acordo com a cultivar, prática de manejo adotada, densidade de plantas, clima (Chitarra & Chitarra, 2005), e através do grau de maturação, pois o amido presente no fruto é hidrolisado em açúcares solúveis, tais como glicose, sacarose e frutose Sanaeifar et al (2016), elevando assim, o teor de SST.…”

Section: Almeida U O Et Alunclassified

Produção De Bananeira, Cultivar D'angola, Consorciada Com Açaizeiro Solteiro Em Diferentes Arranjos De Plantio

Almeida

Neto

Lunz

et al. 2019

RBAS

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O objetivo deste trabalho foi avaliar o desempenho agronômico de bananeira, cultivar D'angola, consorciada com açaizeiro solteiro em diferentes arranjos. O experimento foi conduzido em blocos casualizados completos com quatro repetições e seis plantas por parcela. Os tratamentos foram: T1 - bananeira (3 x 3 m); T2 - bananeira (3 x 2 m) com açaizeiro solteiro (3 x 4 m); T3 - bananeira (3 x 3 m) com açaizeiro solteiro (3 x 4 m); T4 - bananeira (4 x 2 x 2 m) com açaizeiro solteiro (6 x 3 m), e; T5 - bananeira (4 x 2 x 2 m) com açaizeiro solteiro (4 x 2 x 3 m). Foram avaliadas as características de crescimento e desenvolvimento, produção e qualidade físico-químicas dos frutos. As médias foram comparadas pelo teste de Tukey a 5% de probabilidade. As características de crescimento e desenvolvimento, produção e qualidade físico-químicas não sofreram interferência do consórcio com açaizeiro solteiro, com exceção para o perímetro do pseudocaule, produtividade e quantidade de folhas ativas na colheita. As maiores produtividades foram obtidas em plantios mais adensados, independentemente do sistema de cultivo.

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Prediction of banana quality indices from color features using support vector regression

Cited by 106 publications

References 42 publications

Prediction of Firmness and pH for “Golden Delicious” Apple Based on Elasticity Index from Modal Analysis

Prediction of Firmness and pH for “Golden Delicious” Apple Based on Elasticity Index from Modal Analysis

Effects of cold plasma on the color parameters of Hyssop (Hyssopus officinalis L.) using color imaging instrumentation and spectrophotometer

Produção De Bananeira, Cultivar D'angola, Consorciada Com Açaizeiro Solteiro Em Diferentes Arranjos De Plantio

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