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

Objetive: To Develop a technique based on the partition method to estimate surface and volume of mango fruit (Mangifera indica L. cv. ‘Ataulfo’), through two orthogonal digital images captured and processed directly in an Android® mobile device using different discriminants for segmentation. Design/methodology/approach: A technique to estimate surface and volume of mango fruit (cv ‘Ataulfo’) was developed. Images were captured and processed directly in an Android mobile device. Three discriminant for segmentation were evaluated (red channel, green channel and HSI color intensity). Technique was applied to 30 mango fruit. Precision and accuracy were determined. Results: Surface and volume estimated using the red channel showed a coefficient of variation less that 2.0%. While estimation error were less that 3.0% for surface and less that 5.0% for volume. Study limitations/implications: Technique is limited to fruit with elliptical transverse section and smooth surface. Discoveries/conclusions: The proposed technique is a non destructive alternative to estimate surface and volume of mango fruit with reasonable error margin. It can be directly applied in an Android mobile device using as discriminant to segmentation only the red channel.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