Developing field-based phenotyping platforms for canola

该项目的主要目的是为油菜作物开发基于田间的表型(FBP)移动平台，用于快速评估多个数量植物性状。其目标是开发可连接到拖拉机或由PI开发的现有轮式移动机器人的平台。近距离遥感工具和GPS参考将被整合，以利用低成本、灵活和适用于对比作物物种的移动平台。这项研究的一个关键概念是整合来自多个传感器的数据流，以提高田间种植植物可以量化的特征的准确性和数量。所开发的FBP系统及其相关算法将被应用于油菜多个数量性状的检测。该田间平台将在实验室环境下进行设计、制造和测试，并在嘉吉位于萨斯喀彻温省、艾伯塔省和马尼托巴省的作物育种苗圃进行评估。测试成功后，该平台将用于育种和研究应用。人工育种过程的自动化、传感器的选择和油菜育种环境中的移动机器人导航是该项目的一部分。**该项目的里程碑是：1.第一代吊杆的测试；2.数据管理软件的开发；3.第二代吊杆的开发和测试；4.第三代吊杆的开发和测试；5.吊杆的振动控制；6.系统导航的自动化；7.撰写论文/报告。**结果将发表在技术期刊上，并将在技术会议上公布。**该项目完成后，将自动使用一些最流行的高通量表型特征来实现作物的精确表型。该项目的重点将放在油菜籽上，因为它们对萨斯喀彻温省/艾伯塔省/加拿大的经济很重要。

The main purpose of this project is to develop field-based phenotyping (FBP) mobile platforms for Canola crop for rapid assessment of multiple quantitative plant traits. The objective is to develop platforms to be attached to a tractor or an existing wheeled mobile robot developed by PI. Proximal sensing tools and GPS referencing will be integrated to utilize mobile platforms that are low cost, flexible, and applicable to contrasting crop species. A key concept for this research is to integrate streams of data from multiple sensors to increase both the accuracy and number of traits that can be quantified for field grown plants. The developed FBP system, and associated algorithms will be applied to examine multiple quantitative traits in canola. The field platform will**be designed, fabricated, and tested in a laboratory setting and evaluated in crop breeding nurseries of Cargill in Saskatchewan, Alberta, and Manitoba. Upon successful testing, the platform will be used in breeding and research applications. Automation of manual breeding process, sensor selection, and mobile robot navigation in canola breeding setting are part of this project.**The milestones for this project are: 1. Test of the 1st generation boom; 2. Developing software for data management; 3. Development and test of the 2nd generation boom; 4. Development and test of the 3rd generation boom; 5. Vibration control of the booms; 6. Automation of navigation of the system; 7. Writing papers/reports.**The results will be published in technical journals and will be presented in technical conferences.**Upon completion of this project some of the most popular high-throughput phenotyping features will be used automatically to achieve precision phenotype in crop plants. The focus of this project will be on canola because of their importance for Saskatchewan/Alberta/Canada economy.