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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
引用本文:史立新. 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[J]. 农机化研究, 2021, 43(3): 240-244
作者姓名:史立新
作者单位:河南农业职业学院, 河南 洛阳 471002
基金项目:河南省科技攻关项目(182102210146)。
摘    要: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...

关 键 词:视觉计算机  姿态识别  玉米  定向精播种

Study on Dynamic Detection Method of Maize Directional Precision Seeding Grain Quality Based on Computer Attitude Recognition
Shi Lixin. Study on Dynamic Detection Method of Maize Directional Precision Seeding Grain Quality Based on Computer Attitude Recognition[J]. Journal of Agricultural Mechanization Research, 2021, 43(3): 240-244
Authors:Shi Lixin
Affiliation:(Henan Vocational College of Agriculture,Luoyang 471002,China)
Abstract: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.
Keywords:vision computer  attitude recognition  maize  directional sowing
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