Approaches to Conservation of Gastronomic Heritage in the Process of Industry 4.0 and Climate Change

Approaches to Conservation of Gastronomic Heritage in the Process of Industry 4.0 and Climate Change

ISBN13: 9798369318140|ISBN13 Softcover: 9798369347492|EISBN13: 9798369318157
DOI: 10.4018/979-8-3693-1814-0.ch007
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MLA

Ozturk, Hande Mutlu. "Approaches to Conservation of Gastronomic Heritage in the Process of Industry 4.0 and Climate Change." Promoting Sustainable Gastronomy Tourism and Community Development, edited by Andrea Edurne Jimenez Ruiz, et al., IGI Global, 2024, pp. 95-120. https://doi.org/10.4018/979-8-3693-1814-0.ch007

APA

Ozturk, H. M. (2024). Approaches to Conservation of Gastronomic Heritage in the Process of Industry 4.0 and Climate Change. In A. Jimenez Ruiz, S. Bhartiya, & V. Bhatt (Eds.), Promoting Sustainable Gastronomy Tourism and Community Development (pp. 95-120). IGI Global. https://doi.org/10.4018/979-8-3693-1814-0.ch007

Chicago

Ozturk, Hande Mutlu. "Approaches to Conservation of Gastronomic Heritage in the Process of Industry 4.0 and Climate Change." In Promoting Sustainable Gastronomy Tourism and Community Development, edited by Andrea Edurne Jimenez Ruiz, Shivam Bhartiya, and Vaibhav Bhatt, 95-120. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1814-0.ch007

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Abstract

This study discusses the concept of gastronomic heritage, Industry 4.0, and climate change. Technological developments have both positive and negative effects on gastronomic heritage. Climate change can have significant impacts on gastronomic heritage, affecting the availability of traditional foods and ingredients and the ability to continue traditional farming and culinary practices. The study recommends implementing strategies to conserve gastronomic heritage in the face of climate change. The use of technology is also playing an increasingly important role in the conservation of gastronomic heritage, including the use of digital platforms to document and preserve traditional recipes and techniques, as well as the use of data analysis and machine learning to identify patterns and trends in traditional culinary practices.

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