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 是一家总部位于英国的农业科技中小企业，其核心项目团队由 James Stretton（项目负责人）和 Thomas Neeld（技术负责人）组成。农民在饲养可盈利、可持续的牲畜方面面临挑战，同时满足监管要求。选择性育种有助于增加羔羊数量。然而，分析血统很复杂，需要评估多种性状，现有软件无法执行此分析，因此很难识别高性能血统。如果没有这些工具，农民就无法利用选择性育种的好处。为了解决这一未满足的需求，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。围绕育种选择做出更好的、以数据为主导的决策，可将羊群性能和农场盈利能力提高 5-10%，并对盈利能力产生永久性和累积的影响。该平台还可以实现遗传改进，为 13 亿英镑的养羊场带来经济效益。通过鼓励农场合规性的数字记录保存，FlockFinder 可以帮助农民收入进一步增加 3.5%。此外，FlockFinder 的创新将支持显着节省成本并改善动物福利。