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Artificial intelligence-based multi-objective optimization in fruit and vegetable drying systems: A comprehensive

Yujuan Zhong1, Min Zhang2, Min Feng3

  • 1State Key Laboratory of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China; Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, 214122 Wuxi, Jiangsu, China.

Food Research International (Ottawa, Ont.)
|August 12, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers innovative solutions for fruit and vegetable drying, improving efficiency and quality. This review explores AI applications in modeling, monitoring, and optimizing drying processes to reduce waste.

Keywords:
AIDryingFruits and vegetablesIntelligent controlModelingQuality monitoring

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Area of Science:

  • Agricultural Engineering
  • Food Science
  • Artificial Intelligence

Background:

  • Fruits and vegetables are nutrient-rich but highly perishable, necessitating effective preservation methods.
  • Traditional drying techniques face challenges like low efficiency, high energy use, and inconsistent product quality.

Purpose of the Study:

  • To comprehensively review the applications of artificial intelligence (AI) in the drying of fruits and vegetables.
  • To highlight AI's potential in overcoming limitations of conventional drying methods.

Main Methods:

  • Review of fundamental AI theories including machine learning, deep learning, fuzzy logic, expert systems, and computer vision.
  • Analysis of case studies on AI for drying process modeling, prediction, quality monitoring, and intelligent control.

Main Results:

  • AI demonstrates significant advantages in modeling complex, non-linear relationships within drying processes.
  • AI applications enable real-time quality monitoring and intelligent optimization of drying parameters.
  • AI integration with traditional and assisted drying techniques shows promise for enhanced performance.

Conclusions:

  • AI provides effective tools to improve efficiency, reduce waste, and ensure stable product quality in fruit and vegetable drying.
  • Further research into AI limitations and future trends is crucial for advancing intelligent food preservation techniques.