Opti-Beef – Commercialisation Launch Readiness

Opti-Beef — 商业化启动准备就绪

• 批准号: 10096696
• 金额: $ 28.8万
• 依托单位: HALL MARK MEAT HYGIENE 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=10096696
• 关键词: Opti; Beef; Commercialisation; Launch; Readiness

The OPTI-BEEF project, initiated in May 2019, was awarded substantial funding of £1.2m from UK Research and Innovation, through the Industrial Strategy Challenge Fund. This support was part of a broader initiative to bolster 'Productive and Sustainable Crop and Ruminant Agricultural Systems'.Over its four-year duration, OPTI-BEEF aimed to create an enhanced decision support system that integrates on-farm whole-life performance monitoring with detailed carcass measurements from precision agriculture technology. This integration was designed for deployment both on-farm and in-abattoirs. The project successfully developed new on-farm technologies for individual animal monitoring, innovative parameter extraction algorithms for both live animal and carcass images, precise grading prediction models, and user-friendly on-farm and abattoir data platforms.However, to transition to a commercially viable product, further refinements are essential. The project now focuses on real-time image processing to cater to abattoirs' needs and ensuring reliable linkage of cattle IDs to images captured within the fast/complex abattoir environment. Additionally, to achieve commercial licensing, there is a need to enhance the accuracy of grading models on a 15-point scale and devise a reliable method for assessing fat coverage/depth.Key objectives include:* Crafting a fully automated software integration solution for reliable image and UKID linkage.* Developing an algorithm for accurate carcass fat coverage/depth prediction.* Refining the image processing algorithm to account for real-time abattoir conditions.* Creating a commercial-grade algorithm for predicting carcass conformation and fat classifications and carcass weight.* Develop predictions of new carcass traits and explore their use within grading/pricing models.By the project's conclusion, the goal is to have a robust abattoir imaging product ready for licensing by Defra. This product will be among the few licensed VIA options for UK abattoirs. It will synergise with the recently developed on-farm technology, offering the beef industry an invaluable integrated management tool. This tool aims to facilitate informed decision-making, leading to more animals meeting abattoir requirements, better input management by producers, reduced environmental impact, and increased returns on reared animals. The beef industry's ongoing need for an integrated decision-making platform is addressed by this advanced and innovative solution.

OPTI-BEEF项目于2019年5月启动，通过工业战略挑战基金获得了英国研究和创新部门120万英镑的巨额资金。这项支持是支持“生产和可持续作物和反刍动物农业系统”的更广泛计划的一部分。在四年的时间里，OPTI-BEEF旨在创建一个增强型决策支持系统，将农场全生命周期性能监测与精确农业技术的详细胴体测量相结合。该集成设计用于农场和屠宰场的部署。该项目成功开发了用于个体动物监测的农场新技术、用于活体动物和尸体图像的创新参数提取算法、精确的分级预测模型以及用户友好的农场和屠宰场数据平台。然而，要过渡到商业上可行的产品，还必须进一步改进。该项目现在的重点是实时图像处理，以满足屠宰场的需求，并确保在快速/复杂的屠宰场环境中捕获的图像与牛的ID之间的可靠联系。此外，为了获得商业许可，需要提高15分制分级模型的准确性，并设计一种可靠的方法来评估脂肪覆盖率/深度。关键目标包括：* 为可靠的图像和UKID链接设计一个全自动软件集成解决方案。*开发精确的胴体脂肪覆盖率/深度预测算法。*改进图像处理算法，以考虑实时屠宰场条件。*创建商业级算法，用于预测胴体形态、脂肪分类和胴体重量。*开发新的胴体性状预测，并探索其在分级/定价模型中的应用。该项目的结论是，目标是为Defra提供一个强大的屠宰场成像产品。该产品将是英国屠宰场为数不多的授权VIA选项之一。它将与最近开发的农场技术协同作用，为牛肉行业提供宝贵的综合管理工具。该工具旨在促进知情决策，使更多的动物符合屠宰场的要求，生产者更好地管理投入，减少对环境的影响，并增加饲养动物的回报。这一先进的创新解决方案满足了牛肉行业对综合决策平台的持续需求。