Agrivision Inspector- Development of a system for low cost, remotely managed, automated crop stress monitoring and detection in a protected environment using advanced imaging techniques and analytics

该项目旨在通过开发一种新颖、灵活的多传感器成像系统(高清视频、红外、荧光)，在移动平台(手动或机器人)上应用，自动检测作物中最初在受保护环境中的西红柿的胁迫，从而在作物胁迫监测方面取得重大进展。它的目的是支持种植者提高产量，同时减少对环境的影响和劳动强度。该项目建立在使用多传感器检测作物压力的最新研究基础上，并应用先进的图像处理分析来提供自动化的作物压力监测解决方案。将开发试验单元并展示输出。

The project aims to engineer a high impact advance in crop stress monitoring through the development of a novel, flexible multi-sensor imaging system (HD video, IR, Flourescence) for application on a mobile platform (manual or robotic) to automatically detect stresses in crops initially for tomatoes in a protected environment. It is aimed to support growers to improve yields whilst also reducing environmental impact and labour intensity. The project builds on recent research into the use of multi-sensors for the detection of crop stresses and the application of advanced image processing analytics to provider an automated crop stress monitoring solution. Trial units will be developed and outputs displayed.