Categorization Of Watermelon Maturity Level Based On Rind Features

This paper proposed a method to determine the best capture position of the watermelon's rind for categorization of maturity level. A total of forty five watermelon samples are used specifically fifteen samples are in 60% ripeness, another fifteen samples in 70% ripeness and remaining fifteen sa...

Full description

Bibliographic Details
Main Authors: Nooritawati, MT (Author), Rizam, MSBS (Author), Syazwan, NA (Author)
Format: Article
Language:English
Online Access:View Fulltext in Publisher
LEADER 01522nam a2200133Ia 4500
001 10.1016-j.proeng.2012.07.327
008 220124s2012 CNT 000 0 und d
020 |a 1877-7058 
245 1 0 |a Categorization Of Watermelon Maturity Level Based On Rind Features 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.proeng.2012.07.327 
520 3 |a This paper proposed a method to determine the best capture position of the watermelon's rind for categorization of maturity level. A total of forty five watermelon samples are used specifically fifteen samples are in 60% ripeness, another fifteen samples in 70% ripeness and remaining fifteen samples in 80% ripeness. Five different positions of the watermelon which are from the top, bottom, lean. yellowish spot and best side are captured using a digital camera. The images are then analyzed using feature extraction based on RGB color components value. Each capturing positions is analyzed and comparisons are made between all five capturing position to identify the optimum capturing angle that provides significant ripeness stage. Initial results attained showed that capturing the yellowish spot of the watermelon as the best categorization features. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Centre of Humanoid Robots and Bio-Sensor (HuRoBs), Faculty of Mechanical Engineering, Universiti Teknologi MARA. 
700 1 0 |a Nooritawati, MT  |e author 
700 1 0 |a Rizam, MSBS  |e author 
700 1 0 |a Syazwan, NA  |e author