一个基于人工智能的集成多传感器系统与边缘计算,用于适应性管理人类与野生动物冲突
Mirosław Hajder1, Janusz Kolbusz1, Mateusz Liput1
1Department of Intelligent Systems and Networks, University of Information Technology and Management, 35-225 Rzeszów, Poland.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
使用Edge AI的新型自主多感官系统有效地防止野生动物对作物造成的破坏,证明了朝着非致命的人类野生动物冲突解决的重要一步.
科学领域:
- 生态科学 生态科学
- 人工智能的人工智能
- 工程 工程师 工程师 工程师
背景情况:
- 人类与野生动物之间的冲突 (HWC) 在欧洲正在增加,特别是与大型食肉动物的冲突.
- 现有的HWC预防的非致命方法往往是被动的和有限的.
- 生态压力需要先进的,适应性的HWC管理策略.
研究的目的:
- 为HWC设计和实施一个自主,多感官预防系统的原型.
- 验证系统的生物有效性和技术性能.
- 为未来HWC预防技术奠定基础.
主要方法:
- 开发了一个三层架构,具有分散的感官威节点网络.
- 利用边缘人工智能 (AI) 来实时检测物种和适应性威刺激.
- 在作物保护场景中对欧洲鹿进行了现场验证.
主要成果:
- 原型系统几乎完全消除了鹿造成的作物损害.
- 记录了关键的技术性能指标,包括响应时间和能源消耗.
- 人工智能检测模型表现出高准确度,与现场和历史数据进行验证.
结论:
- 开发的平台为针对HWC的自主预防系统提供了有效和灵活的基础.
- 在鹿上成功验证是保护大食肉动物的关键一步.
- 需要进一步的研究来评估该系统对受保护的大型食肉动物物种的有效性.
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