智能农业中的移动机器人:当前趋势和应用
Darío Fernando Yépez-Ponce1,2, José Vicente Salcedo1, Paúl D Rosero-Montalvo3
1Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain.
Frontiers in artificial intelligence
|September 18, 2023
概括
智能农业中的移动机器人可以降低成本和环境影响. 开发无服务器的自主,低成本系统是可持续农业和优化收获的关键.
科学领域:
- 农业工程 农业工程
- 机器人技术 机器人技术 机器人技术
- 计算机科学 计算机科学
背景情况:
- 耕地稀缺需要增加粮食生产,粮农组织预计到2050年粮食产量将增加三分之一.
- 对于作物产量而言,密集地使用肥料会对食品的营养质量产生负面影响.
- 移动机器人在农业中越来越多地用于路径规划和数据收集,以应对生产力和可持续性挑战.
研究的目的:
- 审查移动机器人在农业中的应用,以降低成本,最大限度地减少环境影响,并优化收获.
- 确定智能农业中移动机器人的现状,技术,算法和结果.
- 为先进的智能农业技术提出挑战并提出解决方案.
主要方法:
- 审查当前在农业中的移动机器人应用.
- 分析包括物联网 (IoT),人工智能 (AI),人工视觉和大数据在内的技术.
- 检查路径规划,作物信息收集和多目标控制的算法.
主要成果:
- 由于客户端-服务器架构,当前的农业机器人系统往往是大型和昂贵的.
- 移动机器人,物联网,人工智能,人工视觉,多目标控制和大数据正在引领智能农业技术.
- 一个完全自主,低成本的农业移动机器人系统独立于服务器是一个可行的技术解决方案.
结论:
- 移动机器人提供了一条减少农业成本,环境影响和优化收获的途径.
- 智能农业的关键技术包括物联网,移动机器人,人工智能,人工视觉,多目标控制和大数据.
- 克服环境条件,成本,技术要求,自动化,连接和处理能力方面的挑战对于广泛采用至关重要.
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