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（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，例如例如：土豆（2016 年进口额为 5160 万英镑）；洋葱（1.91 亿英镑）；随着不断发展的英国面临的粮食安全挑战日益严峻。人口以及英国脱欧后进口关税和新冠肺炎相关干扰的持续不确定性，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根类作物的收获是一个积极的过程。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，以便检测根类蔬菜打顶后的损害。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提高农业和食品生产业务和行业的效率，并通过减少收获和储存过程中的粮食损坏来“重建得更好”（损坏的作物导致未损坏的作物在储存期间腐烂），因此对生产力和盈利能力产生积极影响，我们预计该系统将使用户能够收获更高质量（更少受损）的农产品，并具有更长的储存寿命潜力，从而减少我们的进口，最大限度地减少粮食。废物以及相关的环境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。