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对人工智能 (AI) 驱动的肉类质量和安全方法进行全面审查

Young-Hwa Hwang¹, Abdul Samad², Ayesha Muazzam²

¹Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828, Korea.

Food science of animal resources

|March 13, 2026

概括

人工智能 (AI) 为肉类质量评估提供先进的解决方案,提高效率和安全性. 人工智能技术分析颜色和纹理等属性,提高消费者满意度和肉类行业的市场竞争力.

科学领域:

食品科学食品科学食品科学
农业技术农业技术
计算机科学计算机科学

背景情况:

肉类质量评估对于消费者满意度,安全性和行业竞争力至关重要.
传统的肉类质量评估方法往往是低效和耗时的.
越来越多的消费者意识需要先进,可靠的质量和安全评估技术.

研究的目的:

对肉质评价的人工智能 (AI) 系统进行全面审查.
调查人工智能对提高食品安全和确定肉类过期的贡献.
讨论人工智能在肉类科学中的实际应用,好处和缺点.

主要方法:

审查目前用于肉质分析的AI技术.
检查AI在评估颜色,纹理和微生物负载方面的作用.
对供应链管理的AI驱动预测模型的分析.

主要成果:

人工智能系统显著提高了肉质检查的精度和效率.
人工智能有助于生成新鲜度和安全标准的精确数据.
基于人工智能的预测模型有助于识别和管理供应链问题.

结论:

人工智能提出了一种转变性的方法来评估肉质量和食品安全.
人工智能技术为肉类行业提供了实际的解决方案,提高了质量控制.
人工智能的未来进步将进一步彻底改变肉类科学及其应用.

关键词:

人工智能的人工智能是人工智能.食品安全食品安全未来的预测未来的预测肉质评估肉质评价肉质评价预测模型的预测模型.

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