Scientific classification of ripening period and development of colour grade chart for Indian mangoes (Mangifera indica L.) using multivariate cluster analysis

Nambi, V. Eyarkai; Thangavel, K.; Jesudas, D. M.

doi:10.1016/j.scienta.2015.05.031

Cited by 61 publications

(48 citation statements)

References 15 publications

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“…A vast range of RPI values were reported in many studies (Blanes et al, 2015;Kienzle et al, 2012;Rungpichayapichet et al, 2016). Even negative RPI values were found for ripe fruits in our preliminary study (Nambi et al, 2015). So RPI may not be correlated directly with ripening stages, since the vast range of RPI values, including negative numbers, leads to confusion, moreover demarcation of RPI could not be done for different ripening levels.…”

Section: Introductionmentioning

confidence: 55%

“…Samples collected in 2014 were used in model calibration and those collected in 2015 were used in model validation. The collected mangoes were prepared and kept for ripening as proposed by Nambi et al (2015). From the harvested lot, sound mangoes were culled out, desapped, washed and shade-dried for 30 min.…”

Section: Methodsmentioning

confidence: 99%

“…4 mm cylindrical probe (P/4) was used with 1 mm s -1 pre-test speed, 0.1 mm s -1 test speed, 1 mm s -1 post-test speed, and 10 mm penetration depth to obtain force displacement curve. Peel strength: PS (maximum force required to penetrate the peel in Newton), stiffness: S (slope of the force/displacement analysis, FDA, curve till peel strength in N mm -1 ) and flesh firmness: FF (mean force required to penetrate flesh in Newton) were extracted from FDA curve as proposed by Nambi et al (2015) and Camps et al (2005). Colour coordinates were recorded for both external peel colour (L e * ,a e * ,b e * ) and internal pulp colour (L i * ,a i * ,b i * ) of the mango using a HunterLAB colour meter (Hunter Associates Laboratory, Inc. USA) as proposed by Nambi et al (2016b).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Comprehensive ripeness-index for prediction of ripening level in mangoes by multivariate modelling of ripening behaviour

Nambi

Thangavel

Manickavasagan

et al. 2017

International Agrophysics

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A b s t r a c t. Prediction of ripeness level in climacteric fruits is essential for post-harvest handling. An index capable of predicting ripening level with minimum inputs would be highly beneficial to the handlers, processors and researchers in fruit industry. A study was conducted with Indian mango cultivars to develop a ripeness index and associated model. Changes in physicochemical, colour and textural properties were measured throughout the ripening period and the period was classified into five stages (unripe, early ripe, partially ripe, ripe and over ripe). Multivariate regression techniques like partial least square regression, principal component regression and multi linear regression were compared and evaluated for its prediction. Multi linear regression model with 12 parameters was found more suitable in ripening prediction. Scientific variable reduction method was adopted to simplify the developed model. Better prediction was achieved with either 2 or 3 variables (total soluble solids, colour and acidity). Cross validation was done to increase the robustness and it was found that proposed ripening index was more effective in prediction of ripening stages. Three-variable model would be suitable for commercial applications where reasonable accuracies are sufficient. However, 12-variable model can be used to obtain more precise results in research and development applications.

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Section: Introductionmentioning

confidence: 55%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive ripeness-index for prediction of ripening level in mangoes by multivariate modelling of ripening behaviour

Nambi

Thangavel

Manickavasagan

et al. 2017

International Agrophysics

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“…Scientific classification of ripening period and development of color grade chart for Indian mangoes using multivariant cluster analysis by V.Eyar et al (2015) [14] used two types of mango Banganapally andAlphonso for grading and calculation of ripening period. Color format for mango grading is L*a*b*, calculated using Hunter Lab Color meter.…”

Section: Gradingmentioning

confidence: 99%

A Literature Survey on Methodologies for Classification, Maturity Detection, Defect Identification and Grading of Fruits

Reshma¹,

Sreekumar²

2018

IJCA

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The agricultural sector is the primary and unavoidable sector in Kerala .Kerala is a green state .in here wide variety of trees and plants are present. There are different species of trees and few of them are dig for fruits. Fruit has been accepted as a good source of vitamins, minerals and fibers. Most commonly used fruits are mongo, jack fruit, banana etc.This work gives as the review of the fruit Classification, grading, maturity identification and defect detection. Image acquisition performed with digital camera. Fruits are classified based on different features like size, color, texture, etc … the presence of defects on the fruits affects the market value of the product. Now fruit quality estimation using machine vision in Kerala is ongoing.

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“…According to Nambi et al (2015) in the mango's mature state, the coordinates of CIELAB system are characterized by presenting values between 51 to 60, 16 to 29, and 48 to 62 for L*, a* and b* respectively (Table 1).…”

Section: Color Determinationmentioning

confidence: 99%

Mangiferin content, carotenoids, tannins and oxygen radical absorbance capacity (ORAC) values of six mango (Mangifera indica) cultivars from the Colombian Caribbean

Morales¹,

Zapata²,

Jaimes³

et al. 2017

J. Med. Plants Res.

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Mango is one of the tropical fruits of greater production and consumption in the world, and a rich source of bioactive compounds, with various functional properties such as antioxidant activity. In Colombia, mango's market is very broad and diverse. However, there are very few studies that determined the content of bioactive secondary metabolites. The objective of this study was to evaluated the content of different metabolites like Mangiferin, carotenoids, tannins, and the antioxidant capacity by oxygen radical absorbance capacity (ORAC) methodology of six cultivars from the Colombian Caribbean region, with total carotenoid values ranging from 24.67 to 196.15 mg of β-carotene/100 g dry pulp; 84.30 to 161.49 mg Catequine eq./100 g dry pulp for the content of condensed tannins, and 91.80 to 259.23 mg/100 g dry pulp for mangiferin content. The ORAC methodology showed important antioxidant activity results, such as the Chancleta variety with the highest value (2163.78 μmol Trolox/100 g dry pulp). In conclusion, the evaluated mango varieties had promising results as functional food of high nutraceutical value, being Chancleta, Criollo and Jobo varieties, the fruits with highest content in bioactive compounds that expressed the best antioxidant activity.

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Scientific classification of ripening period and development of colour grade chart for Indian mangoes (Mangifera indica L.) using multivariate cluster analysis

Cited by 61 publications

References 15 publications

Comprehensive ripeness-index for prediction of ripening level in mangoes by multivariate modelling of ripening behaviour

Comprehensive ripeness-index for prediction of ripening level in mangoes by multivariate modelling of ripening behaviour

A Literature Survey on Methodologies for Classification, Maturity Detection, Defect Identification and Grading of Fruits

Mangiferin content, carotenoids, tannins and oxygen radical absorbance capacity (ORAC) values of six mango (Mangifera indica) cultivars from the Colombian Caribbean

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