Smart Farm and Agri-environmental Big Data Space

智慧农场与农业环境大数据空间

• 批准号: 10049051
• 金额: $ 38.88万
• 依托单位: QUEEN MARY UNIVERSITY OF LONDON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 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=10049051
• 关键词: Smart; Farm; Agri; environmental; Big

Overirrigation and excessive use of synthetic fertilizers and pesticides increase yield cost, contaminate the aquifer, and destroy the biodiversity, while suboptimal livestock production increases GhG emissions, contributing to the global warming. The solution on the triangle a) global food needs, b) competitiveness/farmers’ fair income and c) sustainable farming/protection of the environment lies in knowledge. Modern farms generate large volume of data aggregated from innovative technologies such as IoT sensors and drones, while vast quantity of EO data has become available via Copernicus Hubs. With the aim to leverage on the quantity of these data sources, the AgriDataValue project aims to establish itself as the “Game Changer” in Smart Farming and agri-environmental monitoring, and strengthen the smart-farming capacities, competitiveness, and fair income by introducing an innovative, intelligent and multi technology, fully distributed platform of platforms. To achieve technological maturity and massive acceptance, AgriDataValue project adopts and adapts a multidimensional approach that combines state of the art big data and data-spaces’ technologies (BDVA/IDSA/GAIA-X) with agricultural knowledge, new business models and agri-environment policies, leverages on existing platforms and edge computing, and introduces novel concepts, methods, tools, pilots and engagement campaigns to go beyond today’s state of the art, perform breakthrough research and create sustainable innovation in upscaling (real-time) sensor data, already evident within the project lifetime. AgriDataValue project will be validated via 24 Use cases in 23 pilots in 9 countries, representing more than 181,000ha with 25 types of crops that span from southwest to northeast Europe, outdoor and greenhouse crops, organic and non-organic production, and more than 2,000 animals of 5 types. More than 4,200 farmers will provide insights and more than 89,000 will be directly informed. More than 1,600 sensors will be utilized and more than 4,500 additional sensors will be installed to measure (real-time) data, including more than 2,500 RFID tags

过度灌溉和过度使用合成肥料和农药增加了生产成本，污染了含水层，破坏了生物多样性，而不理想的畜牧业生产增加了温室气体排放，加剧了全球变暖。a)全球粮食需求，b)竞争力/农民公平收入和c)可持续农业/环境保护这三个三角的解决方案在于知识。现代农场通过物联网传感器和无人机等创新技术产生大量数据，而大量的EO数据已通过哥白尼中心提供。“农业数据价值”项目旨在利用这些数据源的数量，通过引入创新、智能、多技术、全分布式的平台，成为智慧农业和农业环境监测领域的“游戏规则改变者”，增强智慧农业的能力、竞争力和公平收入。为了实现技术成熟和大规模接受，AgriDataValue项目采用并适应了一种多维方法，将最先进的大数据和数据空间技术（BDVA/IDSA/GAIA-X）与农业知识、新商业模式和农业环境政策相结合，利用现有平台和边缘计算，并引入新颖的概念、方法、工具、试点和参与活动，以超越当今的最先进水平。进行突破性的研究，并在升级（实时）传感器数据方面创造可持续的创新，这在项目生命周期内已经很明显。AgriDataValue项目将在9个国家的23个试点中通过24个用例进行验证，这些用例涵盖了从欧洲西南部到东北部超过18.1万公顷的25种作物、户外和温室作物、有机和非有机生产，以及5种类型的2000多只动物。4200多名农民将提供见解，89000多名农民将直接获得信息。将使用1600多个传感器，并安装4500多个传感器来测量（实时）数据，其中包括2500多个RFID标签