Aerial robotics sampling for agricultural scouting

用于农业侦察的空中机器人采样

基本信息

  • 批准号:
    RGPIN-2021-03933
  • 负责人:
  • 金额:
    $ 2.33万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Since 2004, food prices have been rising due to depleted food stocks resulting not only from increased demand, but also increased fertilizer/pesticide costs, oil prices, labor shortages and extreme weather. To optimize the production and health of these crops, current techniques involve regular "scouting" to visually inspect the crops for growth stage, nutrient deficiencies, injuries, disease, and fungus, but more importantly, to allow for the sampling of tissue, soil and insects. This allows the early detection of nutrient deficiency, of fungus infection or of insect infestations. Scouting leads to better productivity, reduces operating costs, and reduces the environmental impacts of fertilizers and pesticides. Unfortunately, these techniques require the seasonal help of a large number of skilled workers. As a result, these jobs are ranked in the top 2 in-demand positions and hardest. Accordingly, it is claimed that the main obstacle to farming is the large area of farmed land and low efficiency in crop monitoring. Currently, human scouts have to walk large areas. It is estimated that "traditional" scouting requires up to 5h per 100 acres for only a few data points, with critical repeatability issues. With the right technological developments, robotics could speed up operations, help fill the shortage of skilled workers, and increase sampling resolution and repeatability. Fast flying drones are already being used to monitor plant stress through multispectral imagery. However, the consensus is that on-the-ground scouting is required as plant stress than can be detected by imagery will have already decreased production below desirable economic levels. Furthermore, imagery does not clearly differentiate between the different plant stressors. Only preventive large-scale scouting, together with spatial and temporal analysis, can provide the data needed to reap the full benefits promised by precision agriculture. It is predicted that robotics scouting will drive the next agriculture revolution. This proposal thus aims at creating aerial sampling solutions that will enable fast scouting of large fields. However, due to the risks and difficulties involved with hardware development, particularly of in-contact aerial robotics, few efforts are currently devoted to the technologies required for aerial agricultural scouting. As such, the short-term objectives of this program focus on demonstrating the potential of novel hardware technologies, which include, full top-to-bottom plant imagery, plant tissues samplers, soil samplers and insect/fungus samplers. This research program will contribute to training 2 PhD, 2 MScA and 5 coop trainees in the field of aerial/agricultural robotics. They will publish in top ranked conferences and scientific journals while developing skills in high demand by the industry. Beside improving the worldwide food production, it is estimated that the total addressable market of drone powered solutions in agriculture is $32B.
自2004年以来,粮食价格一直在上涨,原因是粮食库存枯竭,这不仅是因为需求增加,而且还因为化肥/农药成本增加、油价上涨、劳动力短缺和极端天气。为了优化这些作物的生产和健康,目前的技术涉及定期“侦察”,以目视检查作物的生长阶段、营养缺乏、损伤、疾病和真菌,但更重要的是,允许对组织、土壤和昆虫进行取样。这样可以及早发现营养缺乏、真菌感染或虫害。侦察可以提高生产力,降低运营成本,减少化肥和杀虫剂对环境的影响。不幸的是,这些技术需要大量熟练工人的季节性帮助。因此,这些工作被排在最受欢迎和最难的前两名。因此,据称,农业的主要障碍是耕地面积大和作物监测效率低。 目前,人类侦察员必须走很大的区域。据估计,“传统”的侦察需要高达5小时每100英亩只有几个数据点,与关键的可重复性问题。随着正确的技术发展,机器人技术可以加快操作速度,帮助填补熟练工人的短缺,并提高采样分辨率和可重复性。快速飞行的无人机已经被用于通过多光谱图像监测植物压力。然而,人们的共识是,需要进行实地侦察,因为图像可以检测到的植物胁迫已经使产量下降到理想的经济水平以下。此外,图像并没有明确区分不同的植物压力。只有预防性的大规模侦察,加上空间和时间分析,才能提供所需的数据,以获得精确农业所承诺的全部效益。据预测,机器人侦察将推动下一次农业革命。因此,该提案旨在创建航空采样解决方案,以实现对大片田地的快速侦察。 然而,由于硬件开发的风险和困难,特别是接触式空中机器人,目前很少有人致力于空中农业侦察所需的技术。因此,该计划的短期目标侧重于展示新硬件技术的潜力,其中包括完整的自上而下的植物图像,植物组织采样器,土壤采样器和昆虫/真菌采样器。该研究计划将有助于在航空/农业机器人领域培训2名博士,2名硕士和5名合作学员。他们将在顶级会议和科学期刊上发表文章,同时培养行业高需求的技能。除了改善全球粮食生产外,据估计,农业无人机动力解决方案的总目标市场为320亿美元。

项目成果

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LussierDesbiens, Alexis其他文献

LussierDesbiens, Alexis的其他文献

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{{ truncateString('LussierDesbiens, Alexis', 18)}}的其他基金

Développement de capteurs embarqués pour la mesure du glissement des chaussures en situations réelles
发展捕获者在现实情况下的滑行测量方法
  • 批准号:
    561023-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Alliance Grants
Aerial robotics sampling for agricultural scouting
用于农业侦察的空中机器人采样
  • 批准号:
    RGPIN-2021-03933
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
High performance and autonomous UAV for interactions with energized high voltage transmission lines
用于与带电高压输电线路交互的高性能自主无人机
  • 批准号:
    556180-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Alliance Grants
Développement de capteurs embarqués pour la mesure du glissement des chaussures en situations réelles.
发展捕获者的下船措施,以确保在实际情况下的船舶滑行。
  • 批准号:
    561023-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Alliance Grants
Drone souterrain pour le scan de chantiers miniers
无人机地下扫描 de chantiers 矿工
  • 批准号:
    533971-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Collaborative Research and Development Grants
High performance and autonomous UAV for interactions with energized high voltage transmission lines
用于与带电高压输电线路交互的高性能自主无人机
  • 批准号:
    556180-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Alliance Grants
Measuring sport equipment properties for customer recommendation and design support
测量运动器材属性以供客户推荐和设计支持
  • 批准号:
    536623-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Collaborative Research and Development Grants
Measuring sport equipment properties for customer recommendation and design support
测量运动器材属性以供客户推荐和设计支持
  • 批准号:
    536623-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Collaborative Research and Development Grants
Drone souterrain pour le scan de chantiers miniers
无人机地下扫描 de chantiers 矿工
  • 批准号:
    533971-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Collaborative Research and Development Grants
Jump-flying: a Bioinspired Hybrid Locomotion Strategy for Small Mobile Robots
跳跃飞行:小型移动机器人的仿生混合运动策略
  • 批准号:
    RGPIN-2014-04581
  • 财政年份:
    2019
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual

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