Cloud and distributed architectures for data management in agriculture 4.0 : Review and future trends

• 全文链接

农业4.0中数据管理的云和分布式架构：回顾和未来趋势

关键词：

来源：

Journal of King Saud University - Computer and Information Sciences

全文链接：

//agri.nais.net.cn/topic/downloadFile/e22e4d25-f0eb-4875-9041-faa0679f57e8

来源地址：

https://www.sciencedirect.com/science/article/pii/S1319157821002664

资源所属：

农业与资源环境信息工程专题

类型：

学术文献

语种：

英语

原文发布日期：

2022-10

摘要：

The Agriculture 4.0, also called Smart Agriculture or Smart Farming, is at the origin of the production of a huge amount of data that must be collected, stored, and processed in a very short time. Processing this massive quantity of data needs to use specific infrastructure that use adapted IoT architectures. Our review offers a comparative panorama of Central Cloud, Distributed Cloud Architectures, Collaborative Computing Strategies, and new trends used in the context of Agriculture 4.0. In this review, we try to answer 4 research questions: (1) Which storage and processing architectures are best suited to Agriculture 4.0 applications and respond to its peculiarities? (2) Can generic architectures meet the needs of Agriculture 4.0 application cases? (3) What are the horizontal development possibilities that allow the transition from research to industrialization? (4) What are the vertical valuations possibilities to move from algorithms trained in the cloud to embedded or stand-alone products? For this, we compare architectures with 8 criteria (User Proximity, Latency & Jitter, Network stability, high throughput, Reliability, Scalability, Cost Effectiveness, Maintainability), and analyze the advantages and disadvantages of each of them.