Bai Lin, Liu Minghao, Sun Ying
School of Light Industry, College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Foods. 2023 Jul 29;12(15):2881. doi: 10.3390/foods12152881.
According to estimates by the Food and Agriculture Organization of the United Nations (FAO), about a third of all food produced for human consumption in the world is lost or wasted-approximately 1.3 billion tons. Among this, the amount lost during the storage stage is about 15-20% for vegetables and 10-15% for fruits. It is 5-10% for vegetables and fruits during the distribution stage, resulting in a large amount of resource waste and economic losses. At the same time, the global population affected by hunger has reached 828 million, exceeding one-tenth of the total global population. The improvement of the cold chain system will effectively reduce the amount of waste and loss of food during the storage and transportation stages. Firstly, this paper summarizes the concept and development status of traditional preservation technology; environmental parameter sensor components related to fruit and vegetable spoilage in the intelligent cold chain system; the data transmission and processing technology of the intelligent cold chain system, including wireless network communication technology (WI-FI) and cellular mobile communication; short-range communication technology, and the low-power, wide-area network (LPWAN). The smart cold chain system is regulated and optimized through the Internet of Things, blockchain, and digital twin technology to achieve the sustainable development of smart agriculture. The deep integration of artificial intelligence and traditional preservation technology provides new ideas and solutions for the problem of food waste in the world. However, the lack of general standards and the high cost of the intelligent cold chain system are obstacles to the development of the intelligent cold chain system. Governments and researchers at all levels should strive to highly integrate cold chain systems with artificial intelligence technology, establish relevant regulations and standards for cold chain technology, and actively promote development toward intelligence, standardization, and technology.
据联合国粮食及农业组织(粮农组织)估计,全球生产供人类消费的所有食物中约有三分之一被损失或浪费——约13亿吨。其中,蔬菜在储存阶段的损失量约为15%-20%,水果为10%-15%。在流通阶段,蔬菜和水果的损失率为5%-10%,这造成了大量资源浪费和经济损失。与此同时,受饥饿影响的全球人口已达8.28亿,超过全球总人口的十分之一。冷链系统的完善将有效减少食物在储存和运输阶段的浪费和损失量。首先,本文总结了传统保鲜技术的概念和发展现状;智能冷链系统中与果蔬变质相关的环境参数传感器组件;智能冷链系统的数据传输与处理技术,包括无线网络通信技术(WI-FI)和蜂窝移动通信;短程通信技术以及低功耗广域网(LPWAN)。通过物联网、区块链和数字孪生技术对智能冷链系统进行调控和优化,以实现智慧农业的可持续发展。人工智能与传统保鲜技术的深度融合为全球食物浪费问题提供了新思路和解决方案。然而,缺乏通用标准以及智能冷链系统成本高昂是智能冷链系统发展的障碍。各级政府和研究人员应努力将冷链系统与人工智能技术高度融合,建立冷链技术相关法规和标准,并积极推动向智能化、标准化和技术化发展。