Development of Mobile Application : Smart Food Spoilage Detection Using Arduino Sensors / Alexandra Loreinne S. Guzman, Mhiguel Rovy G. De Nava, Norman V. Cabiling, Julie Ann C. Cosico.

By:

Guzman, Alexandra Loreinne S

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Material type: Text

TextManila : Technological University of the Philippines, 2022Description: xiv, 190 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

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unmediated

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volume

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LOC classification:

BTH T 58.5 G89 2022

Dissertation note: College of Science -- Bachelor of Science in Information Technology, Technological University of the Philippines, 2022. Abstract: This study is conducted due to the significant number of food waste produced globally and the food poisoning incidents brought by food spoilage. The objective of the study is to devise a food spoilage detection system that is composed of two components: an Arduino device and a mobile app. The Arduino device is a standalone device that works with or without the mobile app. The device has to collect sensor readings, analyze them and then print the food condition on the LCD screen or send it to the mobile app if connected. The accuracy of the system is tested by classifying the food under three conditions, fresh, stale, and spoiled. While for the acceptability of the system, the researchers set 40 purposively selected respondents to assess the system consisting of the ISO 25010 criteria. Based on the results, the Arduino device got an overall mean of 3.33, and the mobile app got an overall mean of 3.32, making both components earn the "Very Acceptable" rating.--Author's Abstract.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH T 58.5 G89 2022 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003414

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Information Technology, Technological University of the Philippines,
2022.

Includes bibliographical references.

This study is conducted due to the significant number of food waste produced globally and the food poisoning incidents brought by food spoilage. The objective of the study is to devise a food spoilage detection system that is composed of two components: an Arduino device and a mobile app. The Arduino device is a standalone device that works with or without the mobile app. The device has to collect sensor readings, analyze them and then print the food condition on the LCD screen or send it to the mobile app if connected. The accuracy of the system is tested by classifying the food under three conditions, fresh, stale, and spoiled. While for the acceptability of the system, the researchers set 40 purposively selected respondents to assess the system consisting of the ISO 25010 criteria. Based on the results, the Arduino device got an overall mean of 3.33, and the mobile app got an overall mean of 3.32, making both components earn the "Very Acceptable" rating.--Author's Abstract.

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