A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture

IF 12.4 Q1 AGRICULTURE, MULTIDISCIPLINARY Artificial Intelligence in Agriculture Pub Date : 2025-03-04 DOI:10.1016/j.aiia.2025.02.008
Jihao Wang , Xiaochan Wang , Yinyan Shi , Haihui Yang , Bo Jia , Xiaolei Zhang , Lebin Lin
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Abstract

This paper reviews the application and potential of cloud-edge-end collaborative (CEEC) technology in the field of freshwater aquaculture, a rapidly developing sector driven by the growing global demand for aquatic products. The sustainable development of freshwater aquaculture has become a critical challenge due to issues such as water pollution and inefficient resource utilization in traditional farming methods. In response to these challenges, the integration of smart technologies has emerged as a promising solution to improve both efficiency and sustainability. Cloud computing and edge computing, when combined, form the backbone of CEEC technology, offering an innovative approach that can significantly enhance aquaculture practices. By leveraging the strengths of both technologies, CEEC enables efficient data processing through cloud infrastructure and real-time responsiveness via edge computing, making it a compelling solution for modern aquaculture. This review explores the key applications of CEEC in areas such as environmental monitoring, intelligent feeding systems, health management, and product traceability. The ability of CEEC technology to optimize the aquaculture environment, enhance product quality, and boost overall farming efficiency highlights its potential to become a mainstream solution in the industry. Furthermore, the paper discusses the limitations and challenges that need to be addressed in order to fully realize the potential of CEEC in freshwater aquaculture. In conclusion, this paper provides researchers and practitioners with valuable insights into the current state of CEEC technology in aquaculture, offering suggestions for future development and optimization to further enhance its contributions to the sustainable growth of freshwater aquaculture.
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云-端协同技术在淡水养殖中的应用前景综述
本文综述了云边缘协同(CEEC)技术在淡水养殖领域的应用和潜力。淡水养殖是在全球对水产品需求不断增长的推动下迅速发展的领域。由于传统养殖方式中存在水污染和资源利用效率低下等问题,淡水水产养殖的可持续发展已成为一个严峻的挑战。为了应对这些挑战,智能技术的集成已经成为提高效率和可持续性的有希望的解决方案。云计算和边缘计算结合起来,构成了中东欧国家技术的支柱,提供了一种可以显著提高水产养殖实践的创新方法。通过利用这两种技术的优势,CEEC通过云基础设施实现高效的数据处理,并通过边缘计算实现实时响应,使其成为现代水产养殖的引人注目的解决方案。本文综述了CEEC在环境监测、智能喂养系统、健康管理和产品可追溯性等领域的主要应用。CEEC技术在优化养殖环境、提高产品质量和提高整体养殖效率方面的能力凸显了其成为行业主流解决方案的潜力。此外,本文还讨论了为了充分发挥中东欧国家在淡水水产养殖方面的潜力,需要解决的限制和挑战。综上所述,本文为研究人员和从业者提供了对中东欧国家水产养殖技术现状的宝贵见解,为未来的发展和优化提供了建议,以进一步增强其对淡水水产养殖可持续增长的贡献。
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来源期刊
Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture Engineering-Engineering (miscellaneous)
CiteScore
21.60
自引率
0.00%
发文量
18
审稿时长
12 weeks
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