Evaluation of plum fruit maturity by image processing techniques

Abstract

Maturity is the key factor which determines the storage life and ripening quality of fruits. In order to provide marketing flexibility and to guarantee the acceptable eating quality to the buyer it is very critical to determine the right maturity stage. Maturity indices are also important for trade regulation, marketing strategy and for the efficient use of labor and resources. The proposed system is based on implementation of image processing techniques on the JPEG images of different maturity stages of the plum variety 'Satluj Purple' grown under sub-tropical conditions. The external quality features like color, texture and size were analyzed. Color feature was extracted by using mean RGB values. Entropy, Local Binary Pattern and Discrete Cosine transformation were used for extracting textural features. Correlation coefficients between images of various categories were recorded to determine the most dominant factor for classification. Multi-Attribute Decision Making theory was used for taking final decision. The developed system accurately determined the maturity level. Color was found to be the most dominant factor for classifying the plums according to maturity level. The error percentage was less than 2.4%, when the length and width computed from application were compared with the manual readings. When RGB indices of fruit images were correlated with chemical properties of fruits, strong association was found between fruit acidity and mean intensity of green color (R = 0.9966). Significant variability in total soluble solids was also explained by variation in R/G ratio (R = 0.8464).

Genotypic and environmental factors influence the proximate composition and quality attributes of sweetpotato (Ipomoea batatas L.)

“…Therefore, these results consistently showed that color description by quantifying pixel values was a method that exceedingly improves color differentiation in plants [22]. R, G, and B pixel values were efficient parameters for food quality determination in sweetpotato, as previously reported in other crops such as quinoa [16], and for fruit ripening quality in mango [12], citrus [19], and plum [21]. In this study, low B pixel values were found in pigmented genotypes (yellow, orange, and purple-fleshed storage roots) that, beyond their pigments, were also related to ash and protein accumulation, especially in yellow-orange genotypes.…”

Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics

“…Guzman et al (2015) studied the maturity index of olives using the CIELAB coordinates of the olives. Similarly, Kaur et al (2018) estimated the maturity of plumps using the RGB coordinates. In this case, high correlations were found between the R/G ratio and TSS.…”

Effect of storage temperature and maturity stage on the postharvest period of ‘Horvin’ plums (Prunus domestica L.)

“…There are currently very little studies that have determined the optimum harvest maturity of 'Horvin' plums. In most cases, these determinations have been carried out subjectively, based only on the size and peel color of the fruits, resulting in inconsistent organoleptic characteristics when marketing the product (Kaur, Sawhney, and Jawandha, 2018). This is the cause for the negative perception of the cultivar in a market with high demands and requirements regarding fruit quality (Kader, 2008).…”