Salvaging Responsible Consumption and Production of Food in the Hospitality Industry

Author:

Singh Bhupinder1ORCID,Kaunert Christian2ORCID

Affiliation:

1. Sharda School of Law, Sharda University, India

2. Dublin City University, Ireland

Abstract

The hospitality industry stands at the forefront of addressing critical challenges in responsible consumption and production of food, and this research endeavors to spearhead transformative solutions by harnessing the power of machine learning (ML) and deep learning (DL) technologies. In the contemporary context, where issues like global hunger, malnutrition, and the intricate dynamics of food adulteration significantly impact the industry's demand-supply mechanism, the integration of advanced technological strategies becomes paramount. This chapter strategically examines the role of ML and DL in achieving zero waste within the hospitality sector, offering a nuanced exploration of challenges and presenting innovative strategies to thwart food loss-waste management.

Publisher

IGI Global

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Muscles of Deep Learning (DL) and Internet of Things (IoT) in Cyber Crimes Investigation;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

2. Unraveling Financial Fraud With AI and Machine Learning;Advances in Web Technologies and Engineering;2024-08-30

3. Issues and Challenges of Blue Economy With Reference to Marine Environment Conservation;Practice, Progress, and Proficiency in Sustainability;2024-08-30

4. Unconventional Trademarks in the Pharmaceutical Sector;Advances in Electronic Government, Digital Divide, and Regional Development;2024-08-30

5. Medical Tourism and Health Gateways in International Health Market Places;Advances in Electronic Government, Digital Divide, and Regional Development;2024-08-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3