基于YOLOV5和并行操纵器的Peucedani Radix除草装置的设计和操作
Xuechen Zhang1, Chengmao Cao1, Kun Luo1
1School of Engineering, Anhui Agricultural University, Hefei, China.
Frontiers in plant science
|June 16, 2023
概括
一个新的农业机器人精确地准了Peucedani Radix田中的杂草,减少了除草剂的使用. 这种精确的除草机器人成功地避免了幼苗,并最大限度地减少了碰撞,提高了作物保护.
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
- 精准农业 精准农业 精准农业
背景情况:
- 在农业中过度使用除草剂会给环境带来风险.
- 对于像Peucedani Radix这样的作物,除草操作需要精确的方法来保护作物,同时消除杂草.
研究的目的:
- 设计和验证一个精确的苗木避免和除草农业机器人,用于有针对性的除草剂应用.
- 为了减少在Peucedani Radix种植中过度使用除草剂.
主要方法:
- 机器人使用YOLOV5和ExG功能细分来检测Peucedani Radix和杂草.
- 一个粒子集群优化-贝齐尔 (PSO-Bezier) 算法产生了最佳的苗木避开和喷轨迹.
- 一个并行操纵器执行种子避免和除草剂喷操作.
主要成果:
- 高检测精度 (98.7%) 和召回 (88.2%) 对于Peucedani Radix.
- 有效的杂草细分率为95%,最低连接域为50.
- 成功地避免了准确的种植,除草剂喷率为80.5%,碰撞率为4%.
结论:
- 开发的机器人有效地实现了精确的苗木避开和有针对性的除草剂喷.
- 这项技术为减少农业中除草剂使用提供了可行的解决方案.
- 这项研究为开发类似的精确除草系统提供了宝贵的参考.
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