Measurement of Biochemical Traits in Fresh Produce using Imaging Technologies

该项目涉及开发和使用新的数字和高光谱成像技术，作为整个生鲜农产品供应链(从饲养者到零售商)的质量控制工具。这些工具将在受控环境和实地进行演示，以确定和预测整个供应链的产量、营养含量和质量特征，如颜色、风味和质地。生化特征还将与感官评价属性相关联，以得出影响消费者选择从而影响商业价值的因果关系。此外，技术发展将与基因组数据相辅相成，以帮助植物育种和环境因素对产品质量的影响领域的未来发展。这一应用工业研究项目将使用不同品种的番茄植物(茄子番茄)作为调查对象，并有可能为其他具有重要商业价值的属/种建立应用程序。

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.