Integrated Human-Augmented Robotics and Intelligent Sensing Platform for Precision Viticulture

该项目旨在通过开发和实施精准农业生态系统，彻底改变葡萄、浆果和其他水果等高价值园艺作物的种植方式。该生态系统由三个主要部分组成：用于监测作物健康的图像光谱分析，具有虚拟现实界面的精确操作和感知系统，以及云连接的人工智能。最初的研究和试验将针对葡萄种植业。该项目涉及扩展机器人公司（ER）、伦敦玛丽女王大学（QMUL）和英国葡萄园Saffron Grange （SG）之间的合作。QMUL是一所世界领先的研究型大学，致力于通过研究和创新对世界产生积极影响。QMUL在遥感和图像光谱分析方面的专业知识对项目的成功至关重要。ER是一家总部位于英国的初创公司，专门开发基于虚拟现实的远程操作系统，用于远程操纵机器人。ER在精密操作和感知系统方面的专业知识对于开发具有人类等效操作机械臂和相机的模块化机器人硬件系统至关重要。QMUL和ER之间的合作汇集了必要的专业知识，以开发云连接的人工智能组件，这将使机器人自动化完成诸如葡萄栽培中的修剪和收获等一般任务。这将为SG作为测试平台提供商提供直接的好处，并通过发表的研究和精准农业实践的商业案例开发，为更广泛的英国葡萄种植业带来好处。我们的技术将使种植者能够远程监控作物健康状况，及早发现潜在问题，并采取适当行动，从而提高作物的整体质量和产量。带有VR界面的精确操作和感知系统将使种植者能够更有效、更准确地执行修剪和收获等任务，从而降低劳动力成本和对外国劳动力的依赖。云连接的人工智能组件将有助于实现一般任务的自动化，并随着时间的推移提高其运营效率。通过使用这些尖端技术，我们将能够：*减少对季节性劳动力的依赖*减少投入和劳动力成本*提高产量。*减少排放和对环境的影响。*提高作物整体品质。这将为英国的葡萄种植业带来巨大的好处，使其更具竞争力和可持续性，同时也为英国经济的增长做出贡献。该项目有潜力显著提高英国园艺产业的生产力和可持续性，同时也在全球市场上提供竞争优势。

This project aims to revolutionize the way high-value horticultural crops such as grapes, berries, and other fruits are grown by developing and implementing a precision farming ecosystem. The ecosystem consists of three main components: image spectral analysis for monitoring crop health, precision manipulation and perception system with virtual reality interface, and cloud-connected AI.The initial research and trials will address the viticulture industry. The project involves a collaboration between Extend Robotics (ER), Queen Mary University of London (QMUL) and a UK vineyard, Saffron Grange (SG). QMUL is a world-leading research university that is committed to making a positive impact on the world through research and innovation. QMUL's expertise in remote sensing and image spectral analysis is critical to the project's success. ER is a UK-based start-up that specializes in developing virtual reality-based teleoperation systems for remote manipulation of robots. ER's expertise in precision manipulation and perception systems is essential to the development of the modular robotic hardware system with human equivalent manipulation robotic arms and cameras. The collaboration between QMUL and ER brings together the necessary expertise to develop the cloud-connected AI components that will enable the robotic automation of general tasks such as pruning and harvesting in viticulture. This will provide immediate benefits to SG as the test bed provider as well providing benefits to the wider UK viticulture industry through published research and business case development of precision agriculture practices.Our technology will allow growers to remotely monitor crop health, identify potential issues early on, and take appropriate action, resulting in better overall crop quality and higher yields. The precision manipulation and perception system with a VR interface will enable growers to perform tasks such as pruning and harvesting more efficiently and accurately, reducing labour costs and reliance on foreign labour. The cloud-connected AI components will help to automate general tasks and improve the efficiency of their operations over time. Through the use of these cutting-edge technologies, we will be able to:* Reduce reliance on seasonal labour* Reduce input and labour costs* Increase yields.* Reduce emissions and environmental impact.* Improve overall crop quality.This will bring significant benefits to the viticulture industry in the UK, making it more competitive and sustainable, while also contributing to the growth of the UK economy. This project has the potential to significantly improve the productivity and sustainability of the UK horticultural industry while also providing a competitive edge in the global market.