基于机器视觉检测的果园精密喷雾控制系统的设计和开发
Yu Luo1, Xiaoli He1, Hanwen Shi1
1School of Electronic and Electrical Engineering, Chongqing University of Science & Technology, Chongqing 401331, China.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
这项研究引入了一种机器视觉系统,用于精确的果园喷,显著减少农药的使用和环境影响. 创新的模糊自适应控制系统提高了农药在农业应用中的利用效率.
科学领域:
- 农业工程 农业工程
- 计算机视觉 计算机视觉
- 控制系统 控制系统
背景情况:
- 传统的农药在果园中的应用是低效的,并且由于主观判断而对环境有害.
- 人们越来越需要精确的喷技术来优化果园管理中的资源使用.
研究的目的:
- 为果园开发和评估基于机器视觉的精密喷雾控制系统.
- 提高农药应用效率,减少果园生产中的环境污染.
主要方法:
- 开发了一个使用多次代GrabCut图像分割算法的树冠叶壁面积计算.
- 建立了一个喷雾量计算模型,并提出了一个模糊的自适应控制算法与扩展状态观察员 (ESO).
- 设计了流量和压力控制器,并对树进行了实验室和现场性能测试.
主要成果:
- 与连续喷相比,该系统减少了多达59.73%的喷量,与PID控制相比,减少了30.24%.
- 与连续喷相比,农药利用效率提高了61.42%,与PID控制相比,提高了26.8%.
- 与传统和PID控制方法相比,显著减少了喷雾量,提高了效率.
结论:
- 基于机器视觉的精密喷雾系统为高效和环保的果园管理提供了一种新的技术方法.
- 开发的系统提高了农业生产效率,水果质量,并促进了环境保护.
- 该研究强调了智能控制系统在现代农业中的重要应用价值.
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