Indigenous food recognition model based on various convolutional neural network architectures for gastronomic tourism business analytics

In gastronomic tourism, food is viewed as the central tourist attraction. Specifically, indigenous food is known to represent the expression of local culture and identity. To promote gastronomic tourism, it is critical to have a model for the food business analytics system. This research undertakes...

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Bibliographic Details
Main Authors: Mohd Norhisham Razali @ Ghazali, Ervin Gubin Moung, Farashazillah Yahya, Chong, Joon Hou, Rozita Hanapi, Raihani Mohamed, Ibrahim Abakr Targio Hashem
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/32566/1/Indigenous%20food%20recognition%20model%20based%20on%20various%20convolutional%20neural%20network%20architectures%20for%20gastronomic%20tourism%20business%20analytics.pdf
https://eprints.ums.edu.my/id/eprint/32566/2/Indigenous%20food%20recognition%20model%20based%20on%20various%20convolutional%20neural%20network%20architectures%20for%20gastronomic%20tourism%20business%20analytics%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32566/
https://www.mdpi.com/2078-2489/12/8/322/htm
https://doi.org/10.3390/info12080322
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