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Estimating the weight of mangoes using image processing and analysis techniques

Mohd Janudin, Iszuzuldin Amirull (2021) Estimating the weight of mangoes using image processing and analysis techniques. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

One of the most important factors that consumers associate with mango quality is its size. The weight of the Mango is commonly used to assess its size. This project aims to offer research that uses image processing and analysis techniques to estimate the weight of mangoes. The mango picture produced from the image acquisition system was processed and analyzed using the MATLAB program. There have two methods were used to find the number of pixels of mangoes, which are area and perimeter. This project offers an application that can choose which method is most suitable for the estimated weight of mango based on observations of r-squared values. The relationship between mango pixels and mango weights was examined using linear regression as a statistical approach. As a consequence, methodologies for mango weight assessment using image processing and analysis are practical, viable, and successful.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Mango, Processing, Pixels, Analysis, Mangoes, Regression, Weight, Methodologies
Divisions: Library > Final Year Project > FTKEE
Depositing User: Sabariah Ismail
Date Deposited: 29 May 2023 09:09
Last Modified: 29 May 2023 09:09
URI: http://digitalcollection.utem.edu.my/id/eprint/27435

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