基于智能视觉的园林虫害侵蚀程度计算仿真

Garden pest erosion degree calculation based on intelligent vision

针对现代园林病虫害侵蚀监测技术落后、无法及时预报与防治的问题,文中提出一种基于智能视觉的园林虫害侵蚀程度计算系统。首先,设计园林虫害侵蚀程度计算框架,并且得出图像匹配智能诊断算法,提取图像匹配特征点。另外,根据所设计的计算框架创建基础数据库,收集虫害图像。然后,设计园林虫害侵蚀防治系统,主要包括软、硬件设计。在设计硬件平台时,主要模块包括微控制器、电源模块、传感与传输模块,通过硬件模块使虫害侵蚀程度计算系统的传感、传输与应用网络能够协调互联,并且对植物图片收集,方便查看园林虫害的侵蚀程度;在软件平台设计时,包括微处理器程序、触摸屏程序。最后对设计系统进行验证。结果表明所提方法能够精准检测园林病虫害信息,具有较高的识别精准度。

As the pest erosion monitoring technology for modern gardens is backward and cannot forecast and prevent erosion in real time,a garden pest erosion degree calculation system based on intelligent vision is proposed.The calculation framework of garden pest erosion degree is designed,and the intelligent diagnosis algorithm of image matching is obtained to extract the feature points of image matching.The basic database is created according to the designed calculation framework to collect pest images.The garden pest erosion control system is designed,mainly including the hardware and software design.In the hardware platform design,the main modules including microcontroller,power module,and sensing and transmission module are designed.The sensing,transmission and application network of the pest erosion degree calculation system can be coordinated and interconnected by the hardware module,and the plant pictures are collected to view the erosion degree of garden pests conveniently.In the software platform design,the touch screen procedure and microprocessor procedure are designed.The design system is verified.The results show that the proposed method can accurately detect the information of garden diseases and pests,and has high recognition accuracy.