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
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
批准号:
78866
负责人:
金额:
$6.28万
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
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
英国蔬菜生产者(如土豆、甜菜根、瑞典人、胡萝卜、卷心菜和洋葱)因收获期间受损的农产品质量差和储存期短而受到阻碍,导致依赖从欧洲大陆进口以确保满足国内需求,如:土豆(进口值5160万GB,2016年);洋葱(1.91亿GB);胡萝卜(4660万GB)。随着英国不断增长的人口面临越来越大的粮食安全挑战,以及围绕英国退欧后进口关税和Covid相关破坏的持续不确定性,英国农业和农村经济创新至关重要,以确保更高的效率、自给自足和绿色增长。收获块根作物是一个积极的过程,将损害降至最低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一种基于视觉的创新技术CropVision,以便实时检测收割机中块根蔬菜打顶后的损坏情况。这一第一阶段的技术可行性研究和后续的第二阶段原型开发和测试项目将提高农业和食品生产企业和行业的效率,并通过减少收割和储存期间的粮食损害(因受损作物在储存期间腐烂而造成的),从而对生产率和盈利产生积极影响,从而“重建得更好”。我们预计该系统将允许用户收获更高质量(损坏更少)的农产品,并延长储存寿命,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允许他们根据质量区分产品来产生更大的收入。
英文摘要
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.
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