Informatics Publishing Limited

Marylene S. Eder ¹

Affiliations
1 College of Industrial and Information Technology, Mindanao University of Science and Technology, CM Recto Ave. Lapasan, Cagayan de Oro City, 9000, PH

Abstract

Trash Dash is an android game application developed to serve as an alternative tool to practice proper waste segregation for children ages 3 years old and above. The researchers designed the application using Unity 3D and developed the text file that served as the database of the game application. An observation of a pre-school teacher shows that children know how to throw their garbage but they do not know yet how to segregate wastes. After launching the mobile application to K-2 pupils 4 – 5 years of age, the researchers have noticed that children within this age are active and motivated to learn the difference between biodegradable and non-biodegradable. Based on the result of usability test conducted, it was concluded that the game is easy to use and children will most likely use this application frequently. Furthermore, the children may need assistance from their parents and teachers when playing the game. An actual testing of the application has been conducted to different devices as well as functionality test by Thwack Application and it can be concluded that the mobile application can be launched and installed on a device with a minimum API requirement of Gingerbread (2.3.1).

Keywords

Android Application, Digital Game Based, Educational, Educational Game, Proper Waste Segregation

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Marylene S. Eder ¹

Affiliations
1 Department of Information Technology, College of Information Technology and Computing,University of Science and Technology of Southern Philippines, Cagayan de Oro, PH

Abstract

Objectives: This paper aims to develop an Android Based Application for Diagnosing Rice and Corn Nutrient Deficiency through Leaf and Pattern Recognition. An application designed to quantify Nitrogen, Potassium and Phosphorus deficiency in Rice and Corn crops through the image processing of their leaves. The application also provides farmers the ability to track the test results from multiple farm land. Methods/Statistical analysis: The research methods used in this paper are designing and developing. It designs a mobile application that can diagnose rice and corn nutrient deficiency through leaf color and pattern recognition. Moreover, they also developed an application that could calculate the amount of fertilizer needed in rice and corn nutrient deficiency. Findings: The results show that the application improved the process of diagnosing rice and corn nutrient deficiency. Thus, the survey result have positive feedback from the respondents. With this, it can calculate the accurate nutrient deficiency of rice and corn. It gives results and suggestions immediately that is directed to rice and corn crops. It is also capable of tracking the tests in a visual graph. Application/Improvements: The study is developed in order to address the problems in diagnosing rice and corn nutrient deficiency namely the inaccurate reading, the sampled leaf must be in a controlled light module, time consuming, destructive since the leaf samples are extracted and may take a week for the results and not suitable for determining nitrogen in small area.

Keywords

Leaf Checker, Leaf Color Chart, Mobile Application, Pattern Recognition, Rice and Corn Deficiency, Soil Fertility.

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