Determination of the Correlation Between Image Parameters and Chemical Properties of Red Sweet Bell Pepper During Fermentation DOI Creative Commons
Ewa Ropelewska, Justyna Szwejda‐Grzybowska, Anna Wrzodak

и другие.

Acta Universitatis Cibiniensis. Series E: Food Technology, Год журнала: 2024, Номер 28(2), С. 145 - 158

Опубликована: Дек. 1, 2024

Abstract The objective of this study was to analyse the image textures and chemical characteristics red sweet bell pepper samples during lacto-fermentation process determine correlation between these parameters. raw material subjected spontaneous lacto-fermentation. imaging by a digital camera analyses ascorbic acid, total soluble solids (TSS), acidity, pH, sugars, carotenoids were performed for after 7, 14, 28, 56 days fermentation. statistically significant decrease in TSS, content L-ascorbic glucose, fructose, β-carotene, lacto-fermented observed. strongest relationships with coefficient (R) 0.999 observed acid texture bS5SH5DifEntrp acidity ZS5SV1InvDfMom samples. In case carotenoids, relationship (R=0.999) XS5SV3DifEntrp lycopene content. Furthermore, strong sugar obtained reaching R=-0.998 glucose LS4RNLngREmph R=0.998 sugars BS5SZ5DifEntrp. results also used set regression equations estimate properties based on parameters extracted from images.

Язык: Английский

Non-Destructive Monitoring of External Quality of Date Palm Fruit (Phoenix dactylifera L.) During Frozen Storage Using Digital Camera and Flatbed Scanner DOI Creative Commons
Younés Noutfia, Ewa Ropelewska, Z.B. Jóźwiak

и другие.

Sensors, Год журнала: 2024, Номер 24(23), С. 7560 - 7560

Опубликована: Ноя. 27, 2024

The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment fruit quality. In this study, an innovative approach based image analysis was used assess external quality fresh and frozen ‘Mejhoul’ ‘Boufeggous’ date palm cultivars stored for 6 months at −10 °C −18 °C. Their evaluated, in a non-destructive manner, texture features extracted from images acquired using digital camera flatbed scanner. whole process processing carried out MATLAB R2024a Q-MAZDA 23.10 software. Then, were as inputs pre-established algorithms–groups within WEKA 3.9 software classify samples after 0, 2, 4, storage. Among 599 features, only 5 36 attributes selected powerful predictors build desired classification models “Functions-Logistic” classifier. general architecture exhibited clear differences accuracy depending mainly storage period imaging device. Accordingly, confusion matrices showed high (CA), which could reach 0.84 M0 both two temperatures. This CA indicated remarkable decrease M2 M4 before re-increasing by M6, confirming slight changes end Moreover, developed basis scanner use allowed us obtain correctness rate that attain 97.7% comparison camera, did not exceed 85.5%. perspectives, physicochemical can be added establish correlation with predict behavior under

Язык: Английский

Процитировано

0

Determination of the Correlation Between Image Parameters and Chemical Properties of Red Sweet Bell Pepper During Fermentation DOI Creative Commons
Ewa Ropelewska, Justyna Szwejda‐Grzybowska, Anna Wrzodak

и другие.

Acta Universitatis Cibiniensis. Series E: Food Technology, Год журнала: 2024, Номер 28(2), С. 145 - 158

Опубликована: Дек. 1, 2024

Abstract The objective of this study was to analyse the image textures and chemical characteristics red sweet bell pepper samples during lacto-fermentation process determine correlation between these parameters. raw material subjected spontaneous lacto-fermentation. imaging by a digital camera analyses ascorbic acid, total soluble solids (TSS), acidity, pH, sugars, carotenoids were performed for after 7, 14, 28, 56 days fermentation. statistically significant decrease in TSS, content L-ascorbic glucose, fructose, β-carotene, lacto-fermented observed. strongest relationships with coefficient (R) 0.999 observed acid texture bS5SH5DifEntrp acidity ZS5SV1InvDfMom samples. In case carotenoids, relationship (R=0.999) XS5SV3DifEntrp lycopene content. Furthermore, strong sugar obtained reaching R=-0.998 glucose LS4RNLngREmph R=0.998 sugars BS5SZ5DifEntrp. results also used set regression equations estimate properties based on parameters extracted from images.

Язык: Английский

Процитировано

0