A Comprehensive Review of Advanced Deep Learning Approaches for Food Freshness Detection DOI
R. N. Singh,

C. Nickhil,

Nisha Rani

et al.

Food Engineering Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Language: Английский

AI for Food Safety DOI

Vinod Varma Vegesna,

Senthil Murugan Prabhakaran,

Pawan Whig

et al.

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 501 - 524

Published: Aug. 9, 2024

Artificial intelligence (AI) is revolutionizing the field of food safety by providing advanced tools and techniques to ensure integrity supply chain. This chapter delves into applications AI in safety, highlighting how technologies, including machine learning, computer vision, predictive analytics, are employed detect contaminants, prevent foodborne illnesses, compliance with standards. The authors explore various AI-driven approaches for real-time monitoring, data analysis, risk assessment within industry. Case studies examples from real-world implementations demonstrate effectiveness identifying potential hazards improving overall protocols. By integrating practices, this illustrates transformative intelligent systems safeguarding public health enhancing reliability products.

Language: Английский

Citations

16
Introduction to Food and Dairy Process Engineering DOI
Raj Singh, Sankar Chandra Deka,

C. Nickhil

et al.

Food engineering series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 33

Published: Jan. 1, 2025

Language: Английский

Citations

0
A Comprehensive Review of Advanced Deep Learning Approaches for Food Freshness Detection DOI
R. N. Singh,

C. Nickhil,

Nisha Rani

et al.

Food Engineering Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Language: Английский

Citations

2