Rapid Assessment of Some Physical Parameters of Mangoes Using Monochrome Computer Vision

Mango, the kind of fruits, is a nutraceutical, most popular, unique and high economic value fruit. Quality assessment (sorting/grading) is a must-do step to ensure the desired values (economical, nutraceutical) of mangoes before marketing (local/abroad). A study of real-time physical characterization system for mangoes is, therefore, essential. Using monochrome computer vision (MCV), some physical properties of Chausa and Dahsehari fruits important for design and development of machines were determined. The external diameters [length (L), width (W), thickness (T)] evaluated by MCV were compared with the results obtained from manual method (i.e., digital vernier calipers) using linear regression, paired t test and difference plot method. Coefficient of determination (R2) of diameters (L, W, T) was found between 0.991 and 0.950 for both types of fruits. Difference plot showed differences in diameters were normally distributed and major differences were located between the 95% limits of agreement (i.e., d − 1.92 SD and d + 1.96). In addition, the other parameters (area, perimeter, etc.) of fruits were also evaluated using MCV system and correlated with the mass/volume, using linear (simple and multi) regression technique. Proposed technique, thus, can be applied for the rapid and reliable assessment of mangoes.