Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations

doi:10.1111/1541-4337.70039

	Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations
	Li, Qing 1; Ma, Huawei 2; Min, Weiqing 3; Wang, Yang 4; Zhao, Ran 4; Zhou, Yongjie 1; Tan, Yuqing 1; Luo, Yongkang 1; Hong, Hui 1
	2024-11-01
发表期刊	COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
ISSN	1541-4337
卷号	23 期号:6 页码:24
摘要	Fish-cutting products are widely loved by consumers due to the unique nutrient composition and flavor in different cuts. However, fish-cutting faces the issue of labor shortage due to the harsh working environment, huge workload, and seasonal work. Hence, some automatic, efficient, and large-scale cutting technologies are needed to overcome these challenges. Accompanied by the development of Industry 4.0, the Internet of Things (IoT), artificial intelligence, big data, and blockchain technologies are progressively applied in the cutting process, which plays pivotal roles in digital production monitoring and product safety enhancement. This review focuses on the main fish-cutting schemes and delves into advanced automatic cutting techniques, showing the latest technological advancements and how they are revolutionizing fish cutting. Additionally, the production monitoring architecture based on IoT in the fish-cutting process is discussed. Fish cutting involves a variety of schemes tailored to the specific characteristics of each fish cut. The cutting process includes deheading and tail removal, filleting, boning, skinning, trimming, and bone inspection. By incorporating sensors, machine vision, deep learning, and advanced cutting tools, these technologies are transforming fish cutting from a manual to an automated process. This transformation has significant practical implications for the industry, offering improved efficiency, consistent product quality, and enhanced safety, ultimately providing a modernized manufacturing approach to fish-cutting automation within the context of Industry 4.0.
关键词	AI automation digital monitoring system fish cutting IoT
DOI	10.1111/1541-4337.70039
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China ; National Natural Science Foundation of China[31972007] ; National Natural Science Foundation of China[32172133] ; [2022YFD2100901] ; [CARS-45]
WOS研究方向	Food Science & Technology
WOS类目	Food Science & Technology
WOS记录号	WOS:001368120100001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41147
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Yongkang; Hong, Hui
作者单位	1.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing Lab Food Qual & Safety, Beijing 100083, Peoples R China 2.Guangxi Acad Fishery Sci, ASEAN Key Lab Comprehens Exploitat & Utilizat Aqua, Nanning, Peoples R China 3.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China 4.China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Qing,Ma, Huawei,Min, Weiqing,et al. Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations[J]. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY,2024,23(6):24.
APA	Li, Qing.,Ma, Huawei.,Min, Weiqing.,Wang, Yang.,Zhao, Ran.,...&Hong, Hui.(2024).Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations.COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY,23(6),24.
MLA	Li, Qing,et al."Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations".COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY 23.6(2024):24.