玉米定向精播种粒品质动态检测方法研究--基于计算机姿态识别

Study on Dynamic Detection Method of Maize Directional Precision Seeding Grain Quality Based on Computer Attitude Recognition

首先介绍了基于视觉的目标对象检测算法,然后介绍了计算机姿态识别与传感器检测技术,并确定了玉米定向精播种粒品质动态检测方法,进行了实际的测试试验。测试结果表明:基于计算机姿态识别的玉米定向精播种粒品质动态检测准确率在95%以上,精准度较高,符合设计需求,能够实现对玉米定向的精准播种,对玉米种粒的无人化播种具有重要的现实意义。

Firstly,it introduces the vision-based target detection algorithm,then introduces the computer attitude recognition and sensor detection technology,and then realizes the dynamic detection method of corn directional precision seeding grain quality,and carries out the actual test on the device.The test results show that the accuracy of dynamic detection of maize directional precision seeding grain quality based on computer attitude recognition is over 95%,and the accuracy is high,which meets the design requirements.It can realize the directional precision seeding of maize and has important practical significance for the unmanned seeding of maize seeds.