Artificial Intelligence for Artificial Insemination (AI4AI) technology standardising semen quality assurance across the supply chain, raising conception rates and reducing green-house emissions.

人工授精人工智能 (AI4AI) 技术使整个供应链的精液质量保证标准化，提高受孕率并减少温室气体排放。

• 批准号: 106078
• 金额: $ 73.33万
• 依托单位: DYNEVAL LIMITED
• 依托单位国家: 英国
• 项目类别: Investment Accelerator
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=106078
• 关键词: Artificial; Intelligence; Insemination; AI4AI; technology

Dyneval brings to the market a precision technology for monitoring semen quality at any stage of the livestock reproduction process from production by the bull, boar or ram through to artificial insemination in the cow, sow or ewe. Through measurements on a sacrificial straw, farmers will use our artificial intelligence technology to optimise conception rates and eliminate semen that is suboptimal or has been damaged through damage during processing, an insecure cold chain during distribution or storage on farm. Experimental development through this project will enable us to convert our 1st Generation Product (TRL6) to create a robust, lightweight, ergonomic tool, tailored for use on the farm. Long-term, reliable data with predictive capability will improve decision making for artificial insemination. Data will be stored on the cloud for retrieval, data mining and integration with other farming data systems.For cattle, today's conception rates are 20% lower than they were 40 years ago resulting in a suboptimal calving interval that costs farmers €2bn each year across Europe (equivalent to £25k per farm). Dairy cows are estimated to contribute about 20% of total UK atmospheric methane emissions and 25% of total UK ammonia emissions. According to P.C. Garnsworthy (Animal Feed Science and Technology, 112, 211-223, 2004) total herd emissions can be reduced by 20% if conception rates are improved from current levels ~38% to achievable and optimal ~65% (a difference of 27%). Livestock farming contributes 15% of the total global carbon emissions. Deployed globally, our technology has the potential to help farmers reduce global carbon emissions down to 12% and this would be a significant step to helping food production systems reach net zero by 2040 whilst providing sufficient protein for a growing global population.Through eliminating poor quality semen from their batches for artificial insemination, farmers will produce food more efficiently, improve their profitability and resilience on farm and will be able to meet the sustainability goals set by cooperative buyers and supermarkets to help food producers meet their goals for net zero emissions.

Dyneval为市场带来了一种精确的技术，用于在牲畜繁殖过程的任何阶段监测精液质量，从公牛、公猪或公羊的生产到母牛、母猪或母羊的人工授精。通过对牺牲吸管的测量，农民将使用我们的人工智能技术来优化受孕率，并消除不理想的精液或在加工过程中因损坏而受损的精液，以及在分配或储存过程中不安全的冷链。通过这个项目的实验开发将使我们能够转换我们的第一代产品（TRL 6），以创建一个强大的，轻量级的，符合人体工程学的工具，专为农场使用。具有预测能力的长期可靠数据将改善人工授精的决策。数据将存储在云上，用于检索、数据挖掘以及与其他农业数据系统的集成。对于牛来说，今天的受孕率比40年前低20%，这导致了次优的产犊间隔，整个欧洲的农民每年花费20亿欧元（相当于每个农场2.5万英镑）。据估计，奶牛的甲烷排放量占英国大气甲烷排放总量的20%，占英国氨排放总量的25%。根据PC。Garnsworthy（Animal Feed Science and Technology，112，211-223，2004），如果将受孕率从目前的约38%提高到可实现的最佳约65%（差异为27%），则牛群总排放量可减少20%。畜牧业占全球碳排放总量的15%。在全球范围内部署，我们的技术有可能帮助农民将全球碳排放量降低到12%，这将是帮助粮食生产系统在2040年前实现净零排放的重要一步，同时为不断增长的全球人口提供足够的蛋白质。通过从人工授精批次中消除劣质精液，农民将更有效地生产粮食，提高他们在农场的盈利能力和复原力，并将能够实现合作社买家和超市设定的可持续发展目标，以帮助食品生产商实现净零排放目标。