Augmented Berry Vision (ABV) - Real-time Augmented Display of Spectral Ripeness Cues in Berry Farms
Augmented Berry Vision (ABV) - Real-time Augmented Display of Spectral Ripeness Cues in Berry Farms
批准号:
50877
负责人:
金额:
$26.34万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
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
对包括新鲜水果在内的健康产品的需求持续增加。在英国,软质水果的购买量现在占所有消费者水果购买量的22%。根据Defra的农业报告,软性水果的产量继续攀升,2018年英国软性水果的市场价值估计为6.7亿英镑。消费者和零售商对英国种植的高质量软水果的需求不断增加,而这将在英国脱欧后进一步增加,因为零售商青睐英国产品。在过去的几十年里,人们做出了巨大的努力来培育味道和外观更好的品种,同时在改善种植方法方面的投资也带来了产量和质量的提高。然而,在不同的和具有挑战性的生长季节实现一致的成熟度和质量是困难的,并且由于成熟过程中看不见的颜色变化,采摘后的水果成熟度存在很大的可变性。尽管该行业在采摘方面做出了最大的努力,但果篮中往往仍含有未成熟或过熟的水果,这对消费者对水果质量的看法产生了负面影响。我们将为采摘者开发一种低成本、基于光谱成像的增强现实(AR)原型眼镜设备,该设备可以实时确定和标记水果的成熟度,并帮助种植者生产出每篮成熟度一致的高质量浆果,从而减少整个价值链的浪费。作为一个概念的证明,黑莓将被用作一个范例。英国黑莓市场的年零售额同比增长约20%,目前达到3740万英镑,但采摘者很难判断成熟度,因为几乎成熟、成熟和过熟的水果之间存在非常细微的颜色差异。在这个项目中,将进行基于实验室的水果质量评估,以了解它们与成熟度的关系,并将应用高光谱成像来确定确定成熟度的简单光谱指数。轻型AR框架和LED显示屏将定制,以满足应用和成本要求。通过集成光谱滤波器或快速调谐窄带LED光源,实时处理光谱成像,并将单个浆果的成熟度标记在LED显示屏上。基于AR技术的采摘眼镜可以扩展到其他软水果,并将对英国软水果行业产生重大影响,作为项目合作伙伴,英国软水果行业将首先获得这项技术,从而在一致的水果质量、竞争力和经济影响方面做出重大改变。
英文摘要
Demand for healthy products including fresh fruit continues to increase. In the UK soft fruit purchases now account for 22 percent of all consumer fruit purchases. According to Defra's agricultural report, volumes have continued to climb, with the market value of soft fruit grown in the UK worth an estimated at £670 million in 2018\.There is increasing consumer and retailer demand for high-quality UK-grown soft fruits, and this will increase further post-BREXIT as retailers favour British produce. Great efforts have been made in the past decades to breed varieties with better taste and appearance, whilst investments in improving growing practices has led to production and quality gains. However, achieving consistently ripeness and quality across variable and challenging growing seasons is difficult, and there is a large variability of fruit ripeness after picking due to the invisible changes in colour during ripening. Despite the industry's best efforts in picking, punnets often still contain under or over ripe fruit, leading to negative impact on the perception of fruit quality by consumers.We will develop a low-cost, spectral imaging based Augmented Reality (AR) prototype glasses device for pickers that can determine and label the fruit ripeness in real-time and assist growers to produce high quality berries with consistent ripeness in every punnet, leading to reduced waste throughout the value-chain. As a proof of concept, blackberry will be used as an exemplar.The blackberry market in the UK is growing by around 20% year-on-year currently reaching £37.4m in annual retail sales, but determination of ripeness by pickers can be extremely difficult due to the very subtle colour differences between almost-ripe, ripe, and over-ripe fruit. In this project, lab-based fruit quality assessments will be conducted to understand their relationship with ripeness, and hyperspectral imaging will be applied to identify a simple spectral index determining the ripeness.A lightweight AR frame and LED display will be custom-built to satisfy the application and cost requirement. By integrating a spectral filter or fast tuning narrow-band LED light source, spectral imaging will be processed in real time, and the ripeness of individual berries labelled on the LED display.The AR technology based picking glasses can be extended to other soft fruits and will have a large impact on the UK soft fruit industry, which as a project partner will have first access to the technology, making a step-change in consistent fruit quality, competitiveness and so economic impact.
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