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The Importance of Artificial Intelligence in the Food Industry: Discovering How AI Can Be Applied to Improve Food Production and Processing
Subject area: Arts, Social Sciences and Humanities · Area of research: Arts
Abstract
Artificial intelligence (AI) is transforming the food industry by enhancing production and processing efficiency, improving food safety, and enabling innovative product development. This article explores how AI technologies such as machine learning, computer vision, and predictive analytics are applied across quality control, supply chain optimization, process automation, and personalized nutrition. The integration of AI contributes to reducing waste, minimizing safety risks, and responding to dynamic market demands. Despite challenges related to data quality, interoperability, and regulatory concerns, AI presents significant opportunities for creating more sustainable, agile, and consumer-focused food systems. This work highlights the current applications and future prospects of AI in the food industry, emphasizing the need for collaboration among stakeholders to realize its full potential.
Keywords
Artificial intelligence, food industry, food production, food processing, quality control, supply chain optimization, predictive maintenance, personalized nutrition, food safety, sustainability.
References
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How to cite this paper
@article{1710243,
author = {Karliano Ant?nio R?la Pereira},
title = {The Importance of Artificial Intelligence in the Food Industry: Discovering How AI Can Be Applied to Improve Food Production and Processing},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {7},
pages = {585-588},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710243.pdf},
abstract = {Artificial intelligence (AI) is transforming the food industry by enhancing production and processing efficiency, improving food safety, and enabling innovative product development. This article explores how AI technologies such as machine learning, computer vision, and predictive analytics are applied across quality control, supply chain optimization, process automation, and personalized nutrition. The integration of AI contributes to reducing waste, minimizing safety risks, and responding to dynamic market demands. Despite challenges related to data quality, interoperability, and regulatory concerns, AI presents significant opportunities for creating more sustainable, agile, and consumer-focused food systems. This work highlights the current applications and future prospects of AI in the food industry, emphasizing the need for collaboration among stakeholders to realize its full potential.},
keywords = {Artificial intelligence, food industry, food production, food processing, quality control, supply chain optimization, predictive maintenance, personalized nutrition, food safety, sustainability.},
month = {January},
}