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设计和测试一个种子采集设备为一个设施西红自动移植机器的设计和测试

Zhicheng Liu^1,2,3, Lu Shi^1,2,3, Zhiyuan Liu¹

¹College of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.

Sensors (Basel, Switzerland)

|October 26, 2024

概括

这项研究引入了一种使用改进的YOLOv5算法的自动番茄移植设备. 该技术提高了效率,减少了设施农业的劳动强度,实现了高准确性和成功率.

科学领域:

农业工程农业工程
计算机视觉计算机视觉
机器人技术机器人技术机器人技术

背景情况:

在设施农业中手工种植番茄是劳动密集型和低效的.
需要自动化解决方案来提高生产率并降低运营成本.

研究的目的:

设计和开发一个自动的番茄苗摘和移植设备.
提高使用计算机视觉处理番茄苗的效率和准确性.

主要方法:

研究了西红苗的特性,以确定最佳的移植年龄.
开发了一个改进的YOLOv5算法与CARAFE上样和一个新的损失函数用于幼苗检测.
将算法集成到一个剪切茎自动移植和苗木采摘设备中.

主要成果:

改进的YOLOv5算法实现了92.6%的准确性和95.4%的mAP_0.5.5.
自动移植装置显示,苗木损伤率为7.2%.
在验证测试中,该设备的成功率不低于90.3%.

结论:

开发的剪切茎自动移植装置有效地解决了手动操作的局限性.
改进的YOLOv5算法显著提高了幼苗检测的准确性和速度.
这项研究为农业中自动化移植机械的开发提供了宝贵的参考.

关键词:

农业农业农业农业种苗装置是一种种苗装置.在这里,我们可以看到茄,番茄,番茄.进行移植移植.这就是Yolov5的原因.

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