An innovative platform using ML/AI to analyse farm data and deliver insights to improve farm performance, increasing farm profitability by 5-10%

An%20innovative%20platform%20using%20ML/AI%20to%20analysis%20farm%20data%20and%20deliver%20insights%20to%20improv%20farm%20performance,%20increasing%20farm%20profitability%20by%205-10%

• 批准号: 10093235
• 金额: $ 35.02万
• 依托单位: BLACK SHEEP TECHNOLOGY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10093235
• 关键词: innovative; platform; using; ML; AI

FlockFinder is a UK-based agri-tech SME with a core project team of James Stretton (Project Lead) and Thomas Neeld (Technical Lead).Farmers face challenges in rearing profitable, sustainable livestock while meeting regulatory requirements. Selective breeding can help increase lamb growth, ewe productivity and overall profit by improving bloodlines. However, analysing bloodlines is complex and requires evaluating multiple traits. Existing software cannot perform this analysis, making it difficult to identify high-performing bloodlines. Without these tools, farmers cannot exploit the benefits of selective breeding.To address this unmet need, FlockFinder is developing a platform that uses ML/AI technologies to analyse farm data and deliver insights to help improve farm performance. FlockFinder's platform will enable farmers to make better, data-led decisions around breeding selection to improve flock performance and farm profitability by 5-10%, with a permanent and cumulative effect on profitability. The platform could also enable genetic improvements that deliver economic benefits across the £1.3bn sheep farming industry.By encouraging digital record-keeping for farm compliance, FlockFinder could help further increase farmer income by 3.5%. Also, FlockFinder's innovation will support significant cost savings and improved animal welfare.

Flockfinder是一家位于英国的农业技术中小型企业，由詹姆斯·斯特雷顿（James Stretton）（项目负责人）和托马斯·尼尔德（Thomas Neeld）（技术负责人）的核心项目团队。农民在满足监管要求的同时，面临培养有利可图，可持续的牲畜的挑战。选择性育种可以通过改善血统来帮助提高羔羊生长，母系生产率和总体利润。但是，分析血统很复杂，需要评估多种特征。现有软件无法执行此分析，因此很难识别出高性能的血统。没有这些工具，农民将无法探索选择性育种的好处。为了满足这种未满足的需求，Flockfinder正在开发一个平台，该平台使用ML/AI技术来分析农场数据并提供见解以帮助提高农场绩效。 Flockfinder的平台将使农民能够在繁殖选择方面做出更好的数据主导决策，以提高羊群绩效和农场盈利能力5-10％，并对承诺产生永久和累积的影响。该平台还可以实现遗传改善，从而在13亿英镑的绵羊农业行业中带来经济利益。通过鼓励对农场合规性的数字记录保存，Flockfinder可以帮助将农民收入进一步提高3.5％。此外，Flockfinder的创新将支持大幅节省成本并改善动物福利。