Feasibility of using 3D MultiSpectral Imaging for enhanced classification of fruit ripeness and disease

鉴于果农越来越难以找到人工采摘软果，因此越来越需要开发水果自动采摘系统。该项目的重点是评估用于自动采摘系统的3D多光谱成像系统的优势和适用性。摘水果的体力劳动减少，反过来又需要自动化系统在叶子和水果的疾病监测中发挥作用。使用3D成像的新型传感器的开发可能允许检测症状前疾病的存在并改善水果收获的计划。该项目将利用洛桑研究所的评估专业知识和英国农业技术中心之一的作物健康与保护有限公司（CHAP）的设施和设备，评估这种新型传感器技术在实验室和田间水果种植应用中的可行性，并与现有技术进行比较。该项目将试验和测试一种创新的3D成像工具，以探索其在确定关键作物和水果成熟疾病的初步发展方面的潜力。这也将对水果种植者、研究人员和需要表型分析的植物育种者有用。

In light of the increasing difficulty for fruit farmers to source manual workers to pick soft fruits, there is an increasing need for the development of automatic picking systems, for fruit. This project is focused on assessing the advantages and suitability of a 3D multiSpectral imaging system for use in automatic picking systems. A reduction in manual labour to pick fruit will in turn require that an automated system also needs to play a role in disease surveillance on leaves and fruit. The development of new sensors using 3D imaging may allow detection of pre-symptomatic disease presence and improve the scheduling of fruit harvesting. The project is to assess the feasibility of this new sensor technology with both laboratory and field fruit growing applications and compare to existing technology, using the assessment expertise of Rothamsted Research and the facilities and equipment of Crop Health and Protection Ltd (CHAP) - one of the UK Agri Tech centres This project will trial and test an innovative 3D imaging tool to explore its potential to determine the initial development of diseases in key crops and fruit ripening. This will also be of use to fruit growers, researchers and plant breeders requiring phenotyping.