Application and Prospect of Integrated Food Testing Technology Based on Artificial Intelligence(基于人工智能的集成食品检测技术应用与展望)
摘要
The integration of artificial intelligence (AI) and rapid detection technologies has brought significant transformations to the field of food testing, driving advancements in food safety, quality, and authenticity identification capabilities. The current status of the application of integrated rapid detection technologies in food testing technology based on AI was introduced. In chemical and biological contamination testing, the combination of AI and rapid testing technologies effectively enhances the efficiency and accuracy of food safety testing. In terms of food quality testing, AI combined with rapid testing technologies is widely used for quality assessment of fruits, meat products, aquatic products, and other foods, achieving precise measurement through efficient data analysis and intelligent recognition. Moreover, AI is applied in food authenticity identification, including adulteration detection and geographic traceability, ensuring the authenticity and reliability of food products. Especially when blockchain technology is integrated with AI, blockchain-based traceability systems ensure full traceability of food through transparent and tamper-proof records, while AI algorithms can analyze data from the food supply chain in real-time to identify potential risks and anomalies. The integration of these technologies could not only enhance the overall level of food testing, but also lay the foundation for the construction of future intelligent food testing systems.(人工智能与快速检测技术的结合为食品检测领域带来了显著的变革,推动了食品安全、质量和真实性鉴别能力的提升。介绍了基于人工智能的集成食品检测技术的应用现状。在化学检测和生物污染检测方面,人工智能结合快速检测技术有效提高了食品安全检测的效率和准确性。在食品质量检测方面,人工智能结合快速检测技术被广泛应用于水果、肉制品、水产品以及其他食品的品质评估,通过高效的数据分析和智能识别,实现了对食品品质的精准评价。此外,人工智能在食品真实性鉴别中的应用,包括掺假检测和地理可追溯性技术,保障了食品的真实性和可靠性。特别是当区块链技术与人工智能相结合时,基于区块链的追溯系统通过透明和不可篡改的记录确保食品的全程可追溯性,同时人工智能算法能够实时分析食品流通环节中的数据,识别潜在的风险和异常。这些技术的集成不仅能提升食品检测的整体水平,也可为未来的智能食品检测系统构建奠定基础。)