Autonomous tracking and predictive modelling of Australian plague locust migratory band movement

澳大利亚鼠疫蝗迁徙带的自主跟踪和预测模型

• 批准号: LP0989291
• 负责人: Prof Stephen Simpson
• 金额: $ 23.55万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-05-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0989291
• 关键词: Autonomous; tracking; predictive; modelling; Australian

We will use advances in robotics, engineering, mathematics and biology to develop a new computer model for the control of one of the world's most damaging pest insects: locusts. Autonomous aerial robotic systems will be used to collect data on Australian plague locusts travelling in devastating migratory bands. These data on band movement and the behaviour of individual locusts within the band will be used to develop a particle physics-inspired predictive model of migratory band movement, which will be used to optimise locust control operations. Economic, environmental and social benefits will arise through reductions in the amount of time, money, manpower and insecticides necessary to combat locust outbreaks.

我们将利用机器人技术、工程学、数学和生物学的先进技术，开发一种新的计算机模型，用于控制世界上最具破坏性的害虫之一：蝗虫。自主空中机器人系统将用于收集澳大利亚蝗灾的数据，蝗灾是毁灭性的迁徙带。这些条带移动和条带内单个蝗虫行为的数据将用于开发一个粒子物理学启发的迁移条带移动预测模型，该模型将用于优化蝗虫控制操作。通过减少防治蝗灾所需的时间、金钱、人力和杀虫剂，将产生经济、环境和社会效益。