Development of android-based maturity detector mobile application for watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) using acoustic impulse response analysis

Date

12-2015

Degree

Bachelor of Science in Electrical Engineering

Major Course

Major in Electronics Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Annie Liza C. Pintor

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

Being a non-destructive was of analyzing internal characteristics of agricultural products, acoustic response method had been used as a tool in maturity detection of watermelons. In this study, impulse sound signals were collected by thumping the watermelon on three points: top, center, and bottom. Sound analysis on these signals was done to identify the frequency response of each watermelon. Sweetness at each point was obtained and used as the basis for maturity of watermelons. A classification model was then established by correlating the frequency response with sweetness. Based on this, an Android-based mobile application that can determine watermelon maturity from frequency response was developed by evaluating sweetness. Testing results showed that the developed Android application could determine watermelon sweetness at 85.90% accuracy.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2015 E64 /M34

Document Type

Thesis

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