Enhancing rural business efficiency and growth by minimising harvester induced damage to root crops through development of a vision-based smart system to detect damage in real-time and adjust machine parameters - CropVision

通过开发基于视觉的智能系统来实时检测损坏并调整机器参数，最大限度地减少收割机对块根作物造成的损坏，从而提高农村商业效率和增长 - CropVision

• 批准号: 78866
• 金额: $ 6.28万
• 依托单位: MATRIX AGRI VISION LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=78866
• 关键词: Enhancing; rural; business; efficiency; growth

UK Vegetable producers (such as potatoes, beetroots, swedes, carrots, cabbages and onions are hindered by poor quality and short storage life of produce damaged during harvest, resulting in a reliance on imports from the continent to ensure that domestic demand is met, such as: potatoes (import value of £51.6M, 2016); onions (£191M); carrots (£46.6M). With the increasing challenges of food security for a growing UK population and the continuing uncertainties surrounding Post-Brexit import tariffs and Covid related disruption, it is crucial that the UK agricultural industry and rural economy innovates in order to ensure greater efficiency, self-sufficiency and green growth. Harvesting of root crops is an aggressive process and the minimising of damage is reliant on the observations and skill of a harvester operator. Our approach to this challenge is the development and demonstration of an innovative vision-based technology, CropVision, in order to detect damage post-topping of root vegetables in the harvester, in real-time. This phase 1 technical feasibility study and follow-on phase 2 prototype development and testing project will improve agricultural and food production business and industry efficiency and "building back better" by reducing food damage during harvest and storage (brought about by damaged crop causing rotting of undamaged crop during storage) and therefore positively impacting on productivity and profitability. We anticipate this system will allow users to harvest higher quality (less damaged) produce with longer storage life potential, reducing our imports, minimising food waste, and the associated environmental effects. It will also enable growers to generate greater revenues through extending the supply season and allowing them to differentiate produce based on quality.

英国蔬菜生产商（例如土豆、甜菜根、瑞典菜、胡萝卜、卷心菜和洋葱）因收获期间受损的产品质量差且储存期短而受到阻碍，导致依赖从非洲大陆进口来确保满足国内需求，例如：土豆（2016 年进口价值 5160 万英镑）；洋葱（1.91 亿英镑）；胡萝卜（4660 万英镑）。随着粮食安全挑战日益严峻 鉴于英国人口不断增长，以及英国脱欧后进口关税和新冠疫情相关干扰带来的持续不确定性，英国农业和农村经济的创新至关重要，以确保更高的效率、自给自足和绿色增长。块根作物的收割是一个积极的过程，最大限度地减少损害取决于收割机操作员的观察和技能。我们应对这一挑战的方法是开发和演示 基于视觉的创新技术 CropVision，用于实时检测收割机中根类蔬菜打顶后的损坏情况。第一阶段技术可行性研究和后续第二阶段原型开发和测试项目将通过减少收获和储存期间的粮食损坏（由受损作物导致未受损作物在储存期间腐烂而造成）来提高农业和粮食生产业务和工业效率，并“重建得更好”，从而对生产力和生产力产生积极影响。 盈利能力。我们预计该系统将允许用户收获更高质量（更少损坏）且具有更长储存寿命的农产品，从而减少我们的进口，最大限度地减少食物浪费以及相关的环境影响。它还将使种植者能够通过延长供应季节并根据质量区分产品来获得更多收入。