农作物检测技术,机械除草执行部件和智能机械除草的工作性能:一篇综述
Meiqi Xiang1, Minghao Qu1, Gang Wang1
1College of Biological and Agricultural Engineering, Jilin University, Changchun, China.
Frontiers in plant science
|March 29, 2024
概括
智能机械除草使用先进的传感器和工具来减少农业中人工劳动. 然而,较高的成本和较低的效率目前限制了其广泛采用与化学方法相比.
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
- 计算机视觉 计算机视觉
背景情况:
- 在农业中除草是至关重要的,手工方法是劳动密集型的.
- 智能机械除草提供了一个环保的替代方案,整合了多个科学学科.
- 尽管有潜在的好处,但目前的采用是有限的.
研究的目的:
- 审查智能机械除草的关键技术.
- 分析阻碍其广泛应用的局限性.
- 提供对其当前状态的客观评估.
主要方法:
- 检测技术的审查:接触传感器,非接触传感器和机器视觉.
- 机械除草部件的分析:,弹牙,手指,刷子和旋转部件.
- 与生物化学喷雾方法进行比较分析.
主要成果:
- 检测技术对于引导除草机械至关重要.
- 机械除草组件是为不同的土壤和作物条件而设计的.
- 智能机械除草面临成本和效率方面的挑战.
结论:
- 智能机械除草需要跨学科的整合.
- 较高的技术成本和较低的工作效率是关键的限制.
- 为了更广泛的农业应用,需要进一步开发.
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