Automated Duck Egg Classifier with Web-Based Monitoring System

Main Article Content

Jomelyn L. Ongrea
Nikka E. Allawan
Noel P. Sobejana

Abstract

The main objectives of the research were to develop a module that classify fertilized/unfertilized duck eggs according to its classification using Light Dependent Resistor during candling process of the duck eggs, a project that segregate the duck eggs to its designated classification area using servo motor, to develop a webpage that displays the number of classified duck eggs in a tabular and graphical presentation using Windows Form and to capture the level of effectiveness of the Automated Duck Egg Classifier with Web-Based Monitoring System in terms of functionality, reliability, usability, efficiency, maintainability and portability. Recipient-beneficiary of the project is the balut producer's industry. The method that was used by the project-developers was waterfall approach as a process model for the system. The project-developers used Visual Studio 2012 as front-end and Text File as back end of the system. Asp.Net will be used for designing the user's interface. Using these applications, the project team created a Web-Based Application that displays the number of classified duck eggs which could be presented in a tabular and graphed. Therefore, the study intended to help the balut producer’s industry. Project developers developed an Automated Duck Egg Classifier with Web-Based Monitoring System that able to solve the aforesaid problems of the producers. The common problem encountered by the said industry is the manual process in classifying duck eggs. After the project was tested, the developers concluded that the project finally resolved the traditional problems of classifying duck eggs as the balut expert stated.

Keywords:
Egg classifier, sensor, monitoring, software development.

Article Details

How to Cite
Ongrea, J. L., Allawan, N. E., & Sobejana, N. P. (2020). Automated Duck Egg Classifier with Web-Based Monitoring System. Asian Journal of Research in Computer Science, 6(2), 25-35. https://doi.org/10.9734/ajrcos/2020/v6i230155
Section
Original Research Article

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