2020
DOI: 10.1590/1807-1929/agriambi.v24n8p567-572
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Tomato quality based on colorimetric characteristics of digital images

Abstract: Results of evaluations using optical evaluation methods may be correlated with tomato quality and maturation. In this context, the objective of this study was to evaluated the correlation between tomato colorimetric and physico-chemical variables, clustering them as a function of maturation stages, using multivariate analysis. The experiment was conducted using 150 fruits and three maturation stages (immature, light red and mature). The physico-chemical variables were evaluated through traditional methods. The… Show more

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Cited by 7 publications
(3 citation statements)
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“…Wang and Xing (2017) successfully evaluated fruit-quality parameters of tomatoes under different irrigation regimes and suggested that drip irrigation together with higher fertilization is a good choice in having highquality tomato fruit cultivation within greenhouse conditions (Wang and Xing, 2017). PCA analysis is a strong predictor for the classification in nutritional values of tomatoes by using various characteristics and used for metabolic profiling data of tomato fruits, for classification of tomato fruit quality via colorimetric and physicalchemical variables (explained variance with PCA is %97.01) and for evaluating some tomato collections in previous studies (Dimova and Krasteva, 2007;Abou Chehade et al, 2018;Bello et al, 2020). In this study, cluster and PCA analysis results were in support of each other.…”
Section: Principle Component Analysismentioning
confidence: 99%
“…Wang and Xing (2017) successfully evaluated fruit-quality parameters of tomatoes under different irrigation regimes and suggested that drip irrigation together with higher fertilization is a good choice in having highquality tomato fruit cultivation within greenhouse conditions (Wang and Xing, 2017). PCA analysis is a strong predictor for the classification in nutritional values of tomatoes by using various characteristics and used for metabolic profiling data of tomato fruits, for classification of tomato fruit quality via colorimetric and physicalchemical variables (explained variance with PCA is %97.01) and for evaluating some tomato collections in previous studies (Dimova and Krasteva, 2007;Abou Chehade et al, 2018;Bello et al, 2020). In this study, cluster and PCA analysis results were in support of each other.…”
Section: Principle Component Analysismentioning
confidence: 99%
“…This is so in the cases of Khoje & Bodhe (2015), who determined the extent of damage to guava skin, Costa et al (2018), who determined the time of harvest of macaw palm fruits, and Leme et al (2019), who analyzed the degree of coffee roasting. Systems based on image processing and analysis have successfully evaluated characteristic patterns and predicted phenomena that would be difficult to perceive through visual analysis (Cruz & Silupu, 2014;Bello et al, 2020;Silva et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…
T omato is one of the main vegetables, fruit type, grown in Brazil and the second worldwide crop production (Bello et al, 2020). However, due to some aspects, such as weight loss, excessive maturity and high respiration rate, which lead to quick senescence, this vegetable has a short shelf life after harvest and an early fruit quality deterioration, resulting in a loss of 21% of the total production (Pirozzi et al, 2020).
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mentioning
confidence: 99%