干旱区生态环境知识资源中心(Arid): A Agricultural Spraying and Fertilization Robot based on Visual Navigation

Arid

	A Agricultural Spraying and Fertilization Robot based on Visual Navigation
	Mao, Jiandong; Niu, Wenqi; Wang, Hongyan; Zhang, Bai; Cao, Zhen; Guo, Zhen; Zhao, Hu; Zhou, Chunyan; Gong, Xin
通讯作者	Mao, JD (corresponding author), North Minzu Univ, Sch Elect & Informat Engn, Key Lab Atmospher Environm Remote Sensing Ningxia, Yinchun, Peoples R China.
会议名称	15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
会议日期	NOV 09-13, 2020
会议地点	ELECTR NETWORK
英文摘要	The research and popularization of agricultural intelligence and automation is the guarantee of modern agriculture. At present, ,autonomous navigation of agricultural fertilization robot can effectively reduce the use of labor, and greatly improve the work efficiency, which has become the focus point of agricultural robot research. In this paper, a agricultural fertilization robot with autonomous navigation was studied, also a roller piercing fertilizer applicator was designed and developed, which can avoid the waste of surface fertilization, and improve fertilizer efficiency. The robot mainly includes the control of chassis, farmland image processing, navigation path planning and mechanical design of spraying and fertilization. For robot control, the Cortex-m4 is selected to control the motors of chassis. For farmland image processing, through the color space selection, filtering, enhancement, and segmentation, the useful information can be obtained for visual navigation. The Raspberry Pi is employed to process the image information. Through serial communication, Raspberry Pi can send instructions to Cortex-m4 for controlling robot chassis and receive the feedback. Because the Raspberry Pi takes a long time to completely process the image, the image processing navigation algorithm is improved. By comparison, the processing speed has been increased by four times, which effectively guarantees the real-time of robot autonomous navigation. The experiments results show that the robot is suitable for arid areas and can be used for deep fertilization, the improved algorithm can effectively enable the robot to carry out for autonomous navigation, fertilizing and spraying.
英文关键词	Agricultural Robot Visual Navigation Image Processing Fertilizing and Spraying
来源出版物	PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020)
ISSN	2156-2318
出版年	2020
页码	586-591
ISBN	978-1-7281-5169-4
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000646627000098
WOS类目	Engineering, Electrical & Electronic
WOS研究方向	Engineering
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353164
作者单位	[Mao, Jiandong; Niu, Wenqi; Zhang, Bai; Cao, Zhen; Guo, Zhen; Zhao, Hu; Zhou, Chunyan; Gong, Xin] North Minzu Univ, Sch Elect & Informat Engn, Key Lab Atmospher Environm Remote Sensing Ningxia, Yinchun, Peoples R China; [Wang, Hongyan] Western Elect Commerce Co Ltd, Yinchun, Peoples R China
推荐引用方式 GB/T 7714	Mao, Jiandong,Niu, Wenqi,Wang, Hongyan,et al. A Agricultural Spraying and Fertilization Robot based on Visual Navigation[C]:IEEE,2020:586-591.