Smart Farm and Agri-environmental Big Data Space

过度灌溉和过度使用合成化肥和杀虫剂增加了产量成本，污染了含水层，破坏了生物多样性，而次优畜牧业生产增加了温室气体排放，加剧了全球变暖。解决这个三角问题的办法是：a)全球粮食需求，b)竞争力/农民公平收入，c)可持续农业/环境保护在于知识。现代农场产生了大量通过物联网传感器和无人机等创新技术聚合的数据，而大量的EO数据已通过哥白尼中心获得。为了充分利用这些数据源的数量，AgriDataValue项目旨在通过引入创新、智能和多技术的完全分布式平台，将自己确立为智能农业和农业环境监测领域的“游戏规则改变者”，并通过引入创新、智能和多技术的全分布式平台来增强智能农业的能力、竞争力和公平收入。为了实现技术成熟和广泛接受，AgriDataValue项目采用并采用了一种多维方法，将最先进的大数据和数据空间技术(BDVA/IDSA/GAIA-X)与农业知识、新的商业模式和农业环境政策相结合，利用现有的平台和边缘计算，并引入新的概念、方法、工具、试点和参与活动，以超越当今的最先进水平，在提升(实时)传感器数据方面进行突破性研究和创造可持续创新，这在项目生命周期内已经很明显。AgriDataValue项目将通过9个国家23个试点项目的24个使用案例进行验证，这些项目代表着从西南欧到东北欧的25种作物超过181,000公顷，户外和温室作物，有机和非有机生产，以及5种类型的2,000多只动物。超过4200名农民将提供见解，超过8.9万人将得到直接通知。将使用1600多个传感器，并将安装4500多个额外的传感器来测量(实时)数据，包括2500多个RFID标签

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