Investigation of intelligent systems for closed environment crop monitoring

拟议的项目涉及为**智能作物监测创建必要的固件和信息处理算法。其目的是检测植物物理位置的变化，例如**检测作物库存是否被篡改或作物是否被重新安置。从长远来看，**目标是开发一个全面的植物跟踪和健康监测系统，该系统可以估计作物的产量**，并提醒种植者与植物有关的各种问题，如它们的健康、生长状况和**安全。在拟议的项目期间要研究的一个主要问题是如何将多个低成本**传感系统与智能照明系统结合使用，该智能照明系统可以使用受控照明**定期获取图像。在这方面，一个主要的挑战是如何利用大量的图像数据**集来创建数学签名，通过将它们与以前的**签名进行比较来识别植物的健康。**拟议的活动将使加拿大与作物监测和**管理相关的农业行业受益。开发的系统将成为偏远地区无人看管种植的集成照明和作物监测**系统的组成部分。

The proposed project is related to creating the necessary firmware and information processing algorithms for**intelligent crop monitoring. The objective is to detect changes in the physical location of plants, for instance to**detect if the crop inventory has been tampered with or a crop has been relocated. In the longer term, the**objective is to develop a comprehensive plant tracking and health monitoring system that can estimate the yield**of crops and alert the growers about various issues related to the plants such as their health, growth status, and**security. A major question to be investigated during the proposed project is to address how multiple low-cost**sensory systems can be utilized alongside an intelligent lighting system that can periodically obtain images**using controlled illumination. In this respect, a major challenge is how to utilize a large number of image data**sets to create mathematical signatures that can identify the health of plants by comparing them with previous**signatures.**The proposed activities will benefit Canada's agricultural industries related to crop monitoring and**management. The developed system will be a building block of an integrated lighting and crop monitoring**system for unattended growing in remote areas.