Malik, M., Gahlawat, V. K., Mor, R. S., Agnihotri, S., Panghal, A., Rahul, K. and Emanuel, N. (2023) Artificial Intelligence and Data Science in Food Processing Industry. In: Kamble, S., Mor, R. and Belhadi, A. (eds.) Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance :. Springer. 231–244.
- Information
Information
Abstract:
Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management, and smart sorting and packaging solution through economic resource utilization by reducing errors and saving capital investments. The convergence of data science and AI can further improve the delivery of items at food outlets, boosting on-demand production and predicting sales performance through algorithms. It can drastically improve shelf life, packaging, food safety with a more translucent supply chain, and quality control by identifying customer needs. Automation in the food industry will monitor each processing stage and thus improve its scale-up, inventory predictions, and supply chain stream. This helps in cost reduction, improved accuracy, and time-saving in a large-scale operation.
Creators:
Malik, M., Gahlawat, V. K., Mor, R. S., Agnihotri, S., Panghal, A., Rahul, K. and Emanuel, N.
Editors:
Kamble, S., Mor, R. and Belhadi, A.
Publisher:
Springer
Date:
4 February 2023
Date Type:
Publication
Page Range:
231–244
Title of Book:
Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance :
Series Name:
EAI/Springer Innovations in Communication and Computing
Number of Pages:
399648
Language:
English
ISBN:
9783031197109
Status:
Published / Disseminated
Refereed:
Yes
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