Applications of artificial intelligence (AI) in managing food quality and ensuring global food security

• 全文链接

人工智能在管理食品质量和确保全球粮食安全方面的应用

关键词：

来源：

科睿唯安WOS数据库

全文链接：

//agri.nais.net.cn/topic/downloadFile/ecca5295-c9b0-41dd-8958-0f9ab28e1d3b

来源地址：

https://www.tandfonline.com/doi/full/10.1080/19476337.2024.2393287

资源所属：

粮食和食物安全专题

类型：

学术文献

语种：

英语

原文发布日期：

2024-09-09

摘要：

The food industry uses artificial intelligence (AI) to enhance food quality and security while proposing significant capital savings and resource optimization. Additionally, understanding machine learning (ML) techniques is essential for their effectiveness. Therefore, the gap lies in examining how industrial automation plays a crucial role in successfully implementing this new technology. To address this gap, this review explores AI’s potential to significantly enhance food safety by creating a more transparent supply chain management system. Therefore, the primary focus is exploring potential AI applications, such as artificial neural networks (ANN) and convolutional neural networks (CNN), for detecting food and agricultural product quality. The primary goal of utilizing these AI applications is to reduce human intervention and effort. These methodologies have advantages and disadvantages regarding theoretical knowledge and model interpretation.