REMARKABLE: Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated LEarning

引人注目：通过超广域网和分布式联合学习进行农村环境监测

• 批准号: EP/X039048/1
• 负责人: Abiola Oladipo
• 金额: $ 6.06万
• 依托单位: Tiwakiki Consulting Ltd
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX039048%2F1
• 关键词: REMARKABLE; Rural; Environmental; Monitoring; via

Internet of Things (IoT) technology combined with complementary support for data analytics is the corner stone of today's digital transformation. The societal and economic impact of IoT and Machine Learning (ML) systems in urban and suburban areas significantly outpaces the one in rural areas due to a limited reach of connectivity infrastructure. To reverse further widening of the urban-rural gap, we need to bring efficient and affordable IoT/ML solutions to deep rural areas, reaching out to applications and use cases ranging from wildlife management, rural tourism, livestock monitoring, water and air pollution control, and others. By identifying main gaps in connectivity and affordable data analytics and through interleaved research, development and validation in a real-world setting, REMARKABLE will address the challenge of bringing IoT and data analytics systems a step closer to seamless, energy efficient and secure deployment in rural ares. The consortium composed of six European academic partners, five companies and five associated partners representing leading academic groups from Africa, will focus on research, development, innovation and demonstration across five use cases with six demonstration sites located in rural areas across the European and African continent. The inter-disciplinary nature of the programme provides a unique opportunity for investigation of smart sensing, IoT and data science technology from non-traditional, holistic perspectives leading to new scientific achievements and innovations. Project outputs like smart IoT sensors and devices, rural IoT digital twining platforms, ultra wide-area IoT networks, novel data analytics models and architectures will find their routes to the market via active industrial partners. The project will impact EU workforce market via new interdisciplinary skills for young contributors and form new long-lasting networks of European and African institutions in the area of sensing, IoT, big data analytics and rural entrepreneurship.

物联网（IoT）技术与对数据分析的互补支持相结合是当今数字化转型的一角。城市和郊区物联网和机器学习（ML）系统的社会和经济影响大大超过了农村地区的社会和经济系统，因为连通性基础设施的范围有限。为了扭转城乡差距的进一步扩大，我们需要将高效且负担得起的物联网/ML解决方案带到深层农村地区，从野生动植物管理，农村旅游，牲畜监测，水和空气污染控制等接触到申请和用例。通过确定连通性和负担得起的数据分析中的主要差距，以及通过在现实世界中进行交织的研究，开发和验证，杰出的研究将解决将IoT和数据分析系统带来的挑战，更接近农村地区的无缝，能源有效且安全的部署。该财团由六个欧洲学术合作伙伴，五家公司和五个代表来自非洲的主要学术团体的合作伙伴组成，将重点关注五个用例的研究，开发，创新和示范，其中六个示范地点位于欧洲和非洲大陆的农村地区。该计划的跨学科性质为调查智能感测，物联网和数据科学技术提供了独特的机会，从非传统的整体观点导致了新的科学成就和创新。智能物联网传感器和设备，农村物联网数字缠绕平台，超广域IoT网络，新颖的数据分析模型和架构等项目输出将通过活跃的工业合作伙伴找到到市场的路线。该项目将通过针对年轻贡献者的新跨学科技能影响欧盟劳动力市场，并在感应，物联网，大数据分析和农村企业家精神领域组成新的欧洲和非洲机构的新长期网络。