Semantic Scholar Open Access 2024 99 sitasi

Revolutionizing the food industry: The transformative power of artificial intelligence-a review

Vilhouphrenuo Zatsu Angel Elizabeth Shine Joel M. Tharakan Dayanand Peter Thottiam Vasudevan Ranganathan +5 lainnya

Abstrak

Artificial Intelligence (AI) is revolutionizing the food industry by optimizing processes, improving food quality and safety, and fostering innovation. This review examines AI's applications in food science, including supply chain management, production, sensory science, and personalized nutrition. It discusses techniques like knowledge-based expert systems, fuzzy logic, artificial neural networks, and machine learning, highlighting their roles in predictive maintenance, quality control, product development, and waste management. The integration of AI with sophisticated sensors enhances real-time monitoring and decision-making in food safety and packaging. However, challenges such as ethical concerns, data security, transparency, and high costs persist. AI is poised to advance sustainability by optimizing resource use, enhance food security through predictive analytics of crop yields, and drive innovation in personalized nutrition and supply chain automation, ensuring tailored products and efficient delivery. This paper underscores AI's transformative potential in the food industry while addressing the obstacles to its widespread adoption.

Topik & Kata Kunci

Penulis (10)

V

Vilhouphrenuo Zatsu

A

Angel Elizabeth Shine

J

Joel M. Tharakan

D

Dayanand Peter

T

Thottiam Vasudevan Ranganathan

S

Saqer S. Alotaibi

R

R. Mugabi

A

A. Muhsinah

M

Muhammad Waseem

G

G. A. Nayik

Format Sitasi

Zatsu, V., Shine, A.E., Tharakan, J.M., Peter, D., Ranganathan, T.V., Alotaibi, S.S. et al. (2024). Revolutionizing the food industry: The transformative power of artificial intelligence-a review. https://doi.org/10.1016/j.fochx.2024.101867

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1016/j.fochx.2024.101867
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
99×
Sumber Database
Semantic Scholar
DOI
10.1016/j.fochx.2024.101867
Akses
Open Access ✓