Investigation of intelligent systems for closed environment crop monitoring

封闭环境作物监测智能系统研究

• 批准号: 529272-2018
• 负责人: Moallem, Mehrdad
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659928
• 关键词: Investigation; intelligent; systems; closed; environment

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.

拟议的项目与为**智能作物监测的创建必要的固件和信息处理算法有关。目的是检测植物物理位置的变化，例如，**检测农作物库存是否已被篡改或已重新定位农作物。从长远来看，**目标是开发一种综合的植物跟踪和健康监测系统，该系统可以估计农作物的产量**，并提醒种植者有关与植物有关的各种问题，例如其健康，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解决如何与智能照明系统一起使用多个低成本**感觉系统，该系统可以使用受控照明定期获得图像**。在这方面，一个主要的挑战是如何利用大量图像数据**设置来创建数学签名，可以通过将植物与以前的**签名进行比较来识别植物的健康。开发的系统将是一个集成照明和作物监测**系统，用于偏远地区无人看管的系统。