Image Processing Mobile Application For Banana Ripeness Evaluation

Mobile application has been identified as the best platform for the expert system tool to reach as many users as possible. The main contribution of this paper is the development of an expert system tool for evaluating the ripeness of banana fruit. Utilizing Google Cloud Platform, the application sen...

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Bibliographic Details
Published in2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) pp. 1 - 5
Main Authors Kipli, Kuryati, Zen, Hushairi, Sawawi, Marini, Mohamad Noor, Mirza Syazwana, Julai, Norhuzaimin, Junaidi, Nazreen, Shafiq Mohd Razali, Muhammad Izzat, Chin, Kho Lee, Wan Masra, Sharifah Masniah
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Cloud computing
Data Mining
Distortion
Fruit
Google
Image color analysis
Image Processing
Mathematical model
Mobile Application
Mobile applications
Ripeness
Rule Based Classification
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Summary:Mobile application has been identified as the best platform for the expert system tool to reach as many users as possible. The main contribution of this paper is the development of an expert system tool for evaluating the ripeness of banana fruit. Utilizing Google Cloud Platform, the application sends the sample of banana image through Google Cloud Vision Application Programming Interface to get attribute readings from the sample image. The result of the analysis is compared with application's database of attributes datasets to determine the ripeness of the banana sample image. In this work, the ripeness of the banana is classified into three different class of maturity; unripe, ripe and overripe systematically based on their key attributes value. This work also involved the process of collecting samples of banana with different level of ripeness, application development and evaluation to improve the accuracy of the developed applications classification results using image processing and data mining techniques.
DOI:10.1109/ICASSDA.2018.8477600