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Development of a UAV-based multispectral camera for precision agriculture applications

Development of a UAV-based multispectral camera for precision agriculture applications
开发用于精准农业应用的基于无人机的多光谱相机
批准号:
507141-2016
负责人:
Leblon, Brigitte
金额:
$9.18万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
A&L Canada Laboratories Inc. (referred hereafter as A&L) has been involved in precision agriculture for over 20 years. A&L is working on becoming a major player in the development of remote sensing devices for both field and greenhouse applications and interpretation of such data for growers. There is current market demand for more mobile, fast, adaptable and easy ways to use remote sensing technology in the agriculture sector. It is necessary for A&L to build its own customized camera system, as none on the market are both light enough to fit on a UAV, while providing the required sensing capability at the same time. Our project is a joint effort between UNB and Western professors with A&L scientists / engineers and AAFC scientists to develop operational methods that use the A&L camera and UAV for various precision agriculture applications. The camera will have seven bands of 10 nm, centered in the following wavelengths: 464, 542, 639, 669, 708, 800, and 845 nm. The specific project objectives are: (i) To develop a second generation multispectral camera with enhanced performances for both greenhouse and low weight UAV applications; (ii) To develop a streamlined methodology for mapping crop damage surfaces from the images acquired by the UAV-based camera. This information is required by the provincial crop insurance agencies; (iii) To develop a streamlined methodology for detecting late blight disease in potato fields from the images acquired by the UAV-based camera; (iv) To develop a streamlined methodology for detecting powdery mildew, gummy stem blight and mosaic virus diseases on greenhouse cucumber plants from the images acquired by the camera mounted on a robotic arm; and (v) To develop a streamlined methodology for mapping crop nitrogen status from the images acquired by the UAV-based camera. The project is a follow-up of several Engage/Engage+ projects between A&L and the universities. It will support five Ph.D. students, 2 M.Sc. students, and partially 1 research associate.****
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Use of UAV images for precision agriculture and environmental applications
  • 批准号:
    RGPIN-2018-04130
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2022
  • 负责人:
    Leblon, Brigitte
  • 依托单位:
Use of UAV images for precision agriculture and environmental applications
  • 批准号:
    RGPIN-2018-04130
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2021
  • 负责人:
    Leblon, Brigitte
  • 依托单位:
Use of UAV images for precision agriculture and environmental applications
  • 批准号:
    RGPIN-2018-04130
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2020
  • 负责人:
    Leblon, Brigitte
  • 依托单位:
Use of UAV images for precision agriculture and environmental applications
  • 批准号:
    RGPIN-2018-04130
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2019
  • 负责人:
    Leblon, Brigitte
  • 依托单位:
国内基金
海外基金
空天地数字农业:无人机(UAV)集群+大数据驱动赋能贵妃枇杷全息农场系统构建与关键技术应用研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    钱伟
  • 依托单位:
面向城市边缘网络应急服务调控的RIS-UAV协同资源优化配置研究
  • 批准号:
    62301082
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    刘树美
  • 依托单位:
UAV/InSAR深度融合采动区地表形变损坏信息提取关键技术研究
  • 批准号:
    52364018
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32.00万元
  • 批准年份:
    2023
  • 负责人:
    王瑞
  • 依托单位:
多UAV协作的大规模传感网并发充电模型及其服务机制研究
  • 批准号:
    62362017
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32万元
  • 批准年份:
    2023
  • 负责人:
    神显豪
  • 依托单位: