首页> 外文会议>IFAC Workshop on Research, Education and Development of Unmanned Aerial Systems >Optimal pest management by networked unmanned cropdusters in precision agriculture: A cyber-physical system approach
【24h】

Optimal pest management by networked unmanned cropdusters in precision agriculture: A cyber-physical system approach

机译:网络化无人裁剪中的最佳害虫管理精密农业:一种网络物理系统方法

获取原文

摘要

Unmanned Aerial Systems (UASs) are expected to see the largest application within the agricultural market. These versatile platforms have shown promise ushering in the next wave of precision agriculture. While remote sensing applications have been well documented and developed, there remains significant advances left to be made in improving the use of UASs for precision application of pesticides. Although the current mode of aerial spraying or application of pesticides within the U.S. is done using full-sized aircraft, future implementations for autonomous crop dusting are likely to utilize small unmanned aircraft systems (SUASs) due to their much lower cost and ease of use. However, these smaller platforms have limited payload capacities, thus the development of cooperative swarms of SUASs is necessary. In this paper, a swarm of cooperative SUASs are utilized within a cyber-physical system framework to optimize the use of pesticides with precision spraying. Through the use of Centroid Voronoi Tessellation, the swarm makes the most efficient use of pesticides to attack an invasive pathogen. Simulation results are presented to validate the performance of the proposed method.
机译:无人驾驶空中系统(UASS)预计将在农产品市场内看到最大的应用。这些多功能平台已经表明了迎来了下一波精密农业的承诺。虽然遥感应用程序已经充分记录和开发,但在改善杀虫剂的精确应用时,仍然存在显着的进步。尽管当前的空中喷涂或美国农药在美国施用的应用。使用全尺寸的飞机进行,自主作物除尘的未来实现可能是由于其较低的成本和易用性而利用小型无人机系统(SUASS)。然而,这些较小的平台具有有限的有效载能力,因此需要开发库斯的合作群。本文在网络 - 物理系统框架内使用了一群合作船,以优化使用杀虫剂精度喷涂。通过使用质心Voronoi曲面细分,群体最有效地使用杀虫剂来攻击侵入性病原体。提出了仿真结果以验证所提出的方法的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号