REMEDY: REal tiME DairY. Providing solutions for farmers, vets, consultants and the environment.
补救措施:实时乳制品。
基本信息
- 批准号:48717
- 负责人:
- 金额:$ 227.94万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2020
- 资助国家:英国
- 起止时间:2020 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project involves development of a novel, precision, data-driven solution for dairy farmers that will create a complete step-change towards improved resource use efficiency and net zero emissions. For the first time dairy farmers will be able to calculate and evaluate their efficiency, productivity and environmental impact and then use sophisticated simulation tools, calibrated for their own farm, to identify optimal management decisions in real time.Current on-farm precision technologies often deliver isolated solutions to individual components of complex dairy production systems. This research project will focus on combining data and precision technologies (including cow wearables, novel cow health recording technology, detailed data from milk recording and animal health organisations, genomic data, nutritional data and data carbon footprint and emissions), to create software for a real-time decision support system (Real-time dairy, REMEDY) that will, for the first time, place the application of precision, data-driven, solutions at the finger-tips of dairy farmers.REMEDY will accelerate integration of a diverse range of key data sources and utilise state-of-the-art predictive and simulation models to determine the consequences of specific management decisions on future productivity, animal health, profitability, and environmental impact. Farmer decision-making on a real time basis, will ensure genuine, substantial and measurable improvements in productivity, efficiency, environmental footprint and animal welfare.REMEDY represents a significant step change in the utilisation of farm data and will greatly accelerate the on-farm adoption of new integrated solutions by directly supporting day-to-day decision making. REMEDY will provide deep insights into the consequences of future actions, allowing truly evidence-based decision making by farmers, vets and advisors. The predictive engine of REMEDY will employ sophisticated AI and machine learning methods to continuously use a farm's data to provide farm specific predictions to drive increased efficiency productivity and sustainability.We will ensure REMEDY has relevance and a focus on end-users. To ensure this, we have a team of academics, dairy industry specialists, precision technology specialists, veterinarians and farmers. This team has the infrastructure and substantial proven experience to deliver KE, identify target markets, establish the widespread adoption and support ongoing user needs. We will co-design project outputs with a group of vets and farmers and work with social scientists to evaluate the project outputs and determine best routes to break down barriers to achieve widespread dissemination.
该项目涉及为奶农开发一种新颖、精确、数据驱动的解决方案,这将为提高资源使用效率和净零排放创造一个完整的步骤。奶农将首次能够计算和评估其效率、生产力和环境影响,然后使用针对自己农场校准的复杂模拟工具,真实的实时确定最佳管理决策。当前的农场精密技术通常为复杂乳制品生产系统的各个组件提供孤立的解决方案。这一研究项目将侧重于将数据和精密技术相结合(包括奶牛可穿戴设备、新型奶牛健康记录技术、来自牛奶记录和动物健康组织的详细数据、基因组数据、营养数据以及碳足迹和排放数据),为实时决策支持系统创建软件(实时乳制品,REMEDY),这将是第一次,把应用的精度,数据驱动,REMEDY将加速整合各种关键数据源,并利用最先进的艺术预测和模拟模型,以确定未来生产力,动物健康,盈利能力和环境影响的具体管理决策的后果。农民在真实的时间基础上进行决策,将确保生产力、效率、环境足迹和动物福利方面的真正、实质性和可衡量的改善。REMEDY代表了农场数据利用方面的重大变革,并将通过直接支持日常决策,大大加快农场采用新的综合解决方案。REMEDY将为未来行动的后果提供深入的见解,让农民,兽医和顾问真正以证据为基础的决策。REMEDY的预测引擎将采用先进的人工智能和机器学习方法,持续使用农场的数据,提供农场特定的预测,以提高效率、生产力和可持续性。我们将确保REMEDY具有相关性,并专注于最终用户。为了确保这一点,我们拥有一支由学者、乳制品行业专家、精密技术专家、兽医和农民组成的团队。该团队拥有基础设施和丰富的经验来提供KE,确定目标市场,建立广泛的采用并支持持续的用户需求。我们将与一群兽医和农民共同设计项目产出,并与社会科学家合作评估项目产出,确定打破障碍以实现广泛传播的最佳途径。
项目成果
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其他文献
Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).
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- DOI:
10.1002/cam4.5377 - 发表时间:
2023-03 - 期刊:
- 影响因子:4
- 作者:
- 通讯作者:
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment.
在自我监管的环境中,儿童和青少年在电视上接触不健康食品和饮料广告的情况存在差异。
- DOI:
10.1186/s12889-023-15027-w - 发表时间:
2023-03-23 - 期刊:
- 影响因子:4.5
- 作者:
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The association between rheumatoid arthritis and reduced estimated cardiorespiratory fitness is mediated by physical symptoms and negative emotions: a cross-sectional study.
类风湿性关节炎与估计心肺健康降低之间的关联是由身体症状和负面情绪介导的:一项横断面研究。
- DOI:
10.1007/s10067-023-06584-x - 发表时间:
2023-07 - 期刊:
- 影响因子:3.4
- 作者:
- 通讯作者:
ElasticBLAST: accelerating sequence search via cloud computing.
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- DOI:
10.1186/s12859-023-05245-9 - 发表时间:
2023-03-26 - 期刊:
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Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.
使用通过嵌段共聚物自组装制造的 2D 金纳米结构阵列放大 EQCM-D 检测细胞外囊泡。
- DOI:
10.1039/d2nh00424k - 发表时间:
2023-03-27 - 期刊:
- 影响因子:9.7
- 作者:
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