Review on Artificial Intelligence Powered Food Processing: Enhancing Safety and Sustainability

As the global population is projected to reach 9.7 billion by 2050, ensuring food security has become increasingly challenging due to factors such as population growth, climate change, resource depletion, and environmental pollution.To address these challenges, artificial intelligence (AI) is an emerging technology that plays a crucial role in the food processing industry.This review highlights AI's essential role in food processing to enhance the quality and safety of food products sustainably while addressing industry challenges.The AI significantly impacts food safety, quality assurance, and waste reduction through various applications.Its integration into food processing has the potential to revolutionize industry standards, covering tasks from product categorization to personalized nutrition.However, challenges such as job displacement, technical limitations, and ethical considerations require careful attention.Investment in research, development, training, and maintenance is crucial for successful AI integration.Despite these hurdles, AI's transformative potential to advance sustainability, food safety, and consumer needs remains significant.AI is poised to enhance efficiency, foster innovation, and improve sustainability in the food processing sector, effectively addressing the evolving needs of the growing global population.AI promotes a hopeful outlook for the future of food processing, confidently tackling 21st-century challenges with adaptability and resourcefulness.

Authors

Publication Details

Journal
Asian Science Bulletin
Published
2025-03-06
DOI
https://doi.org/10.3923/asb.2025.92.101
Citations
1
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review on Artificial Intelligence Powered Food Processing: Enhancing Safety and Sustainability

Deribe Mengistu, Girma Ashe
1 citations
Asian Science Bulletin
Food Supply Chain Traceability
1.16
article

Review on Artificial Intelligence Powered Food Processing: Enhancing Safety and Sustainability

Deribe Mengistu, Girma Ashe
article en
1 citations

Abstract

As the global population is projected to reach 9.7 billion by 2050, ensuring food security has become increasingly challenging due to factors such as population growth, climate change, resource depletion, and environmental pollution.To address these challenges, artificial intelligence (AI) is an emerging technology that plays a crucial role in the food processing industry.This review highlights AI's essential role in food processing to enhance the quality and safety of food products sustainably while addressing industry challenges.The AI significantly impacts food safety, quality assurance, and waste reduction through various applications.Its integration into food processing has the potential to revolutionize industry standards, covering tasks from product categorization to personalized nutrition.However, challenges such as job displacement, technical limitations, and ethical considerations require careful attention.Investment in research, development, training, and maintenance is crucial for successful AI integration.Despite these hurdles, AI's transformative potential to advance sustainability, food safety, and consumer needs remains significant.AI is poised to enhance efficiency, foster innovation, and improve sustainability in the food processing sector, effectively addressing the evolving needs of the growing global population.AI promotes a hopeful outlook for the future of food processing, confidently tackling 21st-century challenges with adaptability and resourcefulness.

Asian Science BulletinVol. 3(1)
Zero hunger
Openalex Percentile: Top 24%
Food Supply Chain Traceability
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Review on Artificial Intelligence Powered Food Processing: Enhancing Safety and Sustainability — Deribe Mengistu, Girma Ashe · Asian Science Bulletin (2025) | TGRS Research Map | TGRS