Revolutionizing Responsible Consumption and Production of Food In Hospitality Industry: Machine Learning and Deep Learning Approach Towards Zero Food Waste

Revolutionizing Responsible Consumption and Production of Food In Hospitality Industry: Machine Learning and Deep Learning Approach Towards Zero Food Waste

Bhupinder Singh (Sharda University, India) and Christian Kaunert (Dublin City University, Ireland & University of South Wales, UK)
DOI: 10.4018/979-8-3693-6110-8.ch017
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Abstract

The hospitality industry is pivotal in addressing responsible consumption and food production challenges. The hotel sector is leading the way in tackling important issues related to responsible food production and consumption to lead revolutionary solutions using deep learning and machine learning technology. Integrating modern technical solutions becomes crucial in the current setting, where global poverty, malnutrition, and the complex dynamics of food adulteration considerably affect the industry's demand-supply mechanism. Keeping a close eye on the larger global scene, this study promotes practical actions beyond simple technology implementations. In the face of global issues such as hunger, malnutrition and food adulteration, the assimilation of advanced technological strategies becomes imperative. This chapter explores the role of ML and DL in achieving zero waste within the hospitality sector, addressing challenges and presenting innovative strategies for adequate food loss-waste management.
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