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Updated: Jun 23, 2026

A Computer Vision System for the Assessment of Ice Cream Melting Behavior
08:02

A Computer Vision System for the Assessment of Ice Cream Melting Behavior

Published on: October 4, 2024

Artificial intelligence in food technology and processing: a review.

R Ravichandran1

  • 1Food Technology and Processing, PSS Central Institute of Vocational Education (NCERT), Shyamla Hills, Bhopal, 462002 India.

Journal of Food Science and Technology
|June 22, 2026
PubMed
Summary
This summary is machine-generated.

Artificial Intelligence (AI) offers solutions to food industry challenges like safety and waste. This review highlights AI's potential to create a more sustainable and resilient food system through optimized production and personalized nutrition.

Keywords:
Artificial intelligenceComputer vision in food processingFood safetyIntelligent food packagingPersonalized nutritionPredictive analytics in food systemsQuality controlSupply chainSustainable food production

Related Experiment Videos

Last Updated: Jun 23, 2026

A Computer Vision System for the Assessment of Ice Cream Melting Behavior
08:02

A Computer Vision System for the Assessment of Ice Cream Melting Behavior

Published on: October 4, 2024

Area of Science:

  • Food Science and Technology
  • Computer Science
  • Agricultural Science

Background:

  • The food industry faces significant challenges including safety, supply chain disruptions, consumer demand shifts, climate change, and food waste.
  • Artificial Intelligence (AI) presents innovative solutions to address these multifaceted issues.

Purpose of the Study:

  • To explore the transformative role of AI in optimizing food production processes.
  • To review AI applications in enhancing food safety and enabling personalized dietary recommendations.
  • To address ethical considerations and implementation challenges of AI in the food sector.

Main Methods:

  • Comprehensive analysis of recent scientific literature.
  • Review of relevant case studies on AI implementation in the food industry.
  • Synthesis of findings to highlight AI's impact on food technology and processing.

Main Results:

  • AI applications such as predictive analytics, real-time quality control, and intelligent supply chain management are effective.
  • AI contributes to optimizing food production, improving safety standards, and personalizing nutrition.
  • AI adoption faces ethical considerations and implementation hurdles.

Conclusions:

  • AI has the potential to revolutionize the food industry, leading to enhanced efficiency and safety.
  • AI integration can foster a more resilient and sustainable global food system.
  • Further research and strategic implementation are crucial for maximizing AI's benefits in food technology.