An intelligent noninvasive taste detection app for watermelons

Yu Shan Cheng, Shun Chung Wang, Yu Hua Liu, Bo Ruei Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, a convenient, low-cost, noninvasive and smart watermelon taste detection system with an app is developed based on mobile devices for helping people to pick tasty watermelons. By patting and photoing the watermelon using smart phones, the emitted sound and image are recorded. These data are sent to the system cloud for training and computation. The fast Fourier transform (FFT) and digital image processing technology are used to extract the eigenvalue from voice signal and image for judging the watermelon taste. Taste indices are transferred and displayed from cloud back to the consumers' smartphones. In order to achieve intelligent watermelon taste judgment, a questionnaire about the sweetness, pulp color and water is carried out to build the taste samples and, a learning based on the database is conducted with the artificial neural network. Various mobile devices equipped with Android or iOSx operating software can be used to install the developed WatermelonSweet app. The Xiaoyu watermelon is taken as the test target in this paper. Without additional overhead, everyone can become a fruit expert through the developed app. The proposed non-invasive taste detection system can also be applied to the other fruits which can emit sound by patting them.

Original languageEnglish
Title of host publicationProceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-94
Number of pages5
ISBN (Electronic)9781538633021
DOIs
StatePublished - 07 2017
Externally publishedYes
Event5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017 - Hamamatsu, Japan
Duration: 09 07 201713 07 2017

Publication series

NameProceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017

Conference

Conference5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017
Country/TerritoryJapan
CityHamamatsu
Period09/07/1713/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Android
  • Application software (app)
  • Artificial neural network
  • Non-invasive taste detection
  • Watermelon

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