Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics

Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics

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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, Ervin Gubin Moung, Farashazillah Yahya, Chong Joon Hou, Rozita Hanapi, Raihani Mohamed, Ibrahim Abakr Targio Hashem
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Information
Subjects:
food recognition
deep learning
transfer learning
CNN
food sentiment
food features
Online Access:https://www.mdpi.com/2078-2489/12/8/322

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