OSCAR CV: Accelerating the adoption of Machine Learning & Computer Vision in the Sports turf industry

在每个运动阶段(从业余到精英)，草坪管理者缺乏资源来可持续地维持最高标准的运动场，并表示需要新的工具来检测草坪疾病和杂草的早期迹象，以支持他们的日常活动，同时保持场地的原始状态。该项目旨在加快开发和部署一种可信和负责任的机器学习和计算机视觉解决方案，OSCAR CV，它可以检测草坪疾病和杂草的早期迹象，并从图像中识别各种草坪物种，从而使整个运动草坪行业受益。在这个为期3个月的可行性研究项目(第一阶段)中，E-Nano正在提议为OSCAR CV开发一个概念证明，以用作演示程序，并鼓励建立一个大型财团，以在后期(第二阶段)加速该解决方案在体育产业中的开发和部署。将生产E-Nano当前Lightbox系统的轻便版本(OSCAR CV硬件原型)，潜在最终用户可以轻松操作该系统，以便从他们的设施中收集各种高质量的草坪图像。从之前与E-Nano的最终用户的讨论中，人们相信OSCAR CV解决方案可以使体育产业价值链中的一大部分受益，来自草坪农场种子和草坪管理解决方案供应商，为体育组织/场馆(足球、高尔夫、赛马、网球)和农艺顾问提供服务。

Turf managers at every sports stage (from amateur to elite) lack the resources to sustainably maintain sports fields at the highest standards and have expressed the need for new tools to detect early signs of turf diseases and weeds to support them in their daily activities while keeping the fields in pristine condition.This project aims at accelerating the development and deployment of a trusted and responsible Machine Learning & Computer Vision solution, OSCAR CV that can detect early signs of turf diseases and weeds, and identify various turf species, from imagery, to benefit the sports turf industry as a whole.Within this 3-month feasibility study project (phase 1), E-Nano is proposing to develop a proof of concept for OSCAR CV to use as a demonstrator and encourage the building of a large consortium to accelerate the development and deployment of the solution within the sports industry at a later stage (phase 2).A lightweight and portable version of E-Nano's current lightbox system will be produced (OSCAR CV hardware prototype) that can easily be handled by potential end-users to collect a variety of good-quality turf images from their facilities.From previous discussions with E-Nano's end-users, it is believed OSCAR CV solution could benefit a large panel of the sports industry value chain, from turf farms, seeds and turf management solution suppliers to sports organisations/venues (football, golf, horse racing, tennis) and agronomic consultants.