Analysis of Digital Images on a Mobile Device to Estimate Surface Area and Volume of Mango Fruit (Mangifera indica L.)

Resumen

Objective: To develop a technique based on the partition method, to estimate the surface area and volume of mango fruit (Mangifera indica L. cv. “Ataulfo”) using two digital orthogonal images, obtained and processed on a mobile device with the Android^® operating system, segmented by different discriminants.

Design/Methodology/Approach: A technique was developed to estimate the surface area and volume of “Ataulfo” mango fruit based on digital images and was implemented directly on a smartphone with the Android^® operating system. Three discriminants were evaluated for segmentation (red channel, green channel, and HIS intensity) and applied in n=30 fruits. The precision and accuracy of the technique was determined.

Results: The surface area and volume of the fruit when estimated using the red channel presented a coefficient of variation of less than 2.0% in both variables and the estimation error was less than 3% for surface area and less than 5% for volume.

Study Limitations/Implications: This technique was limited to fruit with an elliptical cross-section and smooth surface.

Findings/Conclusions: The proposed technique is a non-destructive alternative to estimate the surface area and volume of “Ataulfo” mango fruit with a reasonable margin of error and can be implemented directly on an Android^® device using only the red channel as a segmentation discriminant.