Monitoring of Watermelon Ripeness Based on Fuzzy Logic

Rahman, Farah; Baki, Shah Rizam Mohd Shah; Yassin, Ahmad Ihsan Mohd; Tahir, Nooritawati Md; Ishak, Wan Illia Wan

doi:10.1109/csie.2009.912

Cited by 18 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic systems will give more accurate data and become one of the famous methods in solving problem domains. In fuzzy logic, human reasoning capacities have been applied to artificial knowledge-based structure where it will give results of whether data is completely false or true [12].…”

Section: F Software Developmentmentioning

confidence: 99%

A characterization of watermelon leaf diseases using Fuzzy Logic

Abdullah

Hashim

Yusof

et al. 2012

2012 IEEE Symposium on Business, Engineering and Industrial Applications

View full text Add to dashboard Cite

This paper presents a characterization of watermelon leaf diseases through the RGB color. The aim of this study is to perform identification of selected critical watermelon leaf diseases in Malaysia namely the Downy Mildew and Anthracnose diseases. Several samples of infected leaves images were put under digital RGB color extraction where the images were captured under standardized and controlled environment. This study involves 200 samples of infected leaves of which the classification of the diseases was carried out using Fuzzy Logic technique. Fuzzy Logic was used to handle the uncertainty and vagueness as it provides a means of translating qualitative and imprecise information into quantitative (linguistic) terms. The results have shown that the percentage of accuracy for both types of disease were more than 67%.

show abstract

Section: F Software Developmentmentioning

confidence: 99%

A characterization of watermelon leaf diseases using Fuzzy Logic

Abdullah

Hashim

Yusof

et al. 2012

2012 IEEE Symposium on Business, Engineering and Industrial Applications

View full text Add to dashboard Cite

show abstract

“…Samples of watermelon images used in this research are obtained from previous researches [12,13]. The samples are captured using Sony Cyber Shot Digital Camera model DSC P-10 with resolution of 1280x960 pixels.…”

Section: B Image Acquisitionmentioning

confidence: 99%

Watermelon maturity level based on rind colour as categorization features

Nasaruddin

Baki

Tahir

2011

2011 IEEE Colloquium on Humanities, Science and Engineering

View full text Add to dashboard Cite

This paper proposed categorization of watermelon maturity level based on rind colour. 30 samples are used to develop the new algorithm. Firstly, image of the fruit is captured in RGB format using a digital camera. The RGB image then is converted into gray scale image to undergo pre-processing. Here, the watermelon is extracted from the unwanted background by scanning the image for connected pixels or blobs, followed by the elimination of the unwanted blobs having certain area, leaving the desired object intact. Masking process is performed to obtain image of the watermelon with a black background. The colour components of the masked image namely red, green and blue are extracted and used as features in determining the maturity level of the watermelon. Another 30 samples are used to test the technique to validate the proposed method. Initial results attained proved that this method is appropriate and at par as compared to opinion from the human expert.

show abstract

“…This is true for apples [1], broccoli [2], and cranberries [3]. Color is one of the most commonly used feature to evaluate maturity for various fruits, vegetables like tomatoes [4], watermelons [5], bananas [6], and dates [7]. Harvesting of fruits and vegetables at proper stage of maturity is of paramount significance for attaining desirable quality.…”

Section: Introductionmentioning

confidence: 99%