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面向智能除草机植株图像识别及根部定位测量系统
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Plant Image Recognition and Root Positioning Measurement System for Intelligent Weeder
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    摘要:

    为实现智能除草机在一次工作中能同时完成植株行内和行间的杂草去除,设计了一个植株图像识别及根部定位测量系统。提出了植物根部定位算法,利用植物与土地背景的颜色特征进行灰度化处理,依据植株与杂草的形态特征识别目标植株,并通过植株的叶片生长特征和叶片的形态特征确定植株根部位置;利用摄像机标定的原理获得植株根部间距离和最近植株根部与除草机的距离。实验结果表明:该系统能完成植株距离测定,为除草机器人整体设计提供依据。

    Abstract:

    To achieve intelligent weeder in one job can be completed simultaneously removing weeds within the rows and rows between the plants,a plant recognition and root positioning system was designed.The plant roots positioning algorithm was proposed,the image was grayed using the color characteristics of plants and background,plants were identified by the different construction status,the location of the plant roots was determined according to plant growth characteristics and the leaves and leaf morphology characteristics,and the distance between the plants root and the distance from the nearest plants root and weeding robot were obtained by using the principle of the camera calibration.The results show that the system can make sure distance between plants,it provides a foundation for the overall design of weeding robot.

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闫如忠,林宇超.面向智能除草机植株图像识别及根部定位测量系统[J].机床与液压,2015,43(15):126-130.
. Plant Image Recognition and Root Positioning Measurement System for Intelligent Weeder[J]. Machine Tool & Hydraulics,2015,43(15):126-130

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  • 在线发布日期: 2015-11-24
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