• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Middle East and North Africa Communications Conference >Towards Autonomous Farms Based on Fog Computing
【24h】

Towards Autonomous Farms Based on Fog Computing

机译：对基于雾计算的自治农场

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Nowadays, the advent of Internet of Things (IoT) and Cloud has led to great developments not only in industry but also in agriculture. Many researches and projects have been elaborated so far in this context. It aims at reducing human efforts as well as resources and power consumption by enabling automated calculation of crop yield, automatic watering of field and timely reporting of disorders. On another hand, many contributions aim to incorporate robots and drones in smart farms to autonomously perform crop dusting, fertilizing and other field related farming tasks. These robots and drones are latency-sensitive and equipped with multiple sensors that collect various data pertaining to the agricultural area and sending it to the cloud for further analysis. However, the long distance between the source of data and the Cloud leads to a significant increase in response time, which leads to a decrease in performances. This paper presents an alternative solution based on Fog Nodes (FN) and LoRa technology to reduce the total latency induced during data transmission from these latency-sensitive drones/robots towards the Cloud for processing as well as optimizing the number of nodes deployment in the wide smart farms.
机译：如今，事物互联网（物联网）和云的出现，不仅在工业中发展而且在农业方面导致了巨大的发展。到目前为止，在这方面已经详细说明了许多研究和项目。它旨在通过实现作物产量的自动计算，自动浇水以及对疾病的及时报告，减少人类努力以及资源和功耗。另一方面，许多贡献旨在将机器人和无人机纳入智能农场，自主地执行作物粉尘，施肥和其他领域相关的农业任务。这些机器人和无人机是延迟敏感的，并配备多个传感器，可以收集与农业区域有关的各种数据，并将其发送到云以进一步分析。然而，数据源和云之间的长距离导致响应时间的显着增加，这导致表演的减少。本文介绍了一种基于雾节点（FN）和LORA技术的替代解决方案，以减少从这些延迟敏感的无人机/机器人到云进行处理的数据传输过程中引起的总延迟，以及优化宽的节点部署数量聪明的农场。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号