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Research on the Straight Line Driving and Visual Navigation Technology of Agricultural Machinery

摘要


With the progress of agricultural technology and the continuous development of agricultural machinery, the importance of intelligent navigation technology is increasingly prominent. This paper studies the linear driving and visual navigation technology of agricultural machinery. Based on the analysis of Hough transformation in the straight-line driving of agricultural machinery, the working principle of the straight-line visual navigation of agricultural machinery is described. In view of image segmentation in visual navigation, the gray value segmentation method is used to segment the agricultural land image on OpenCV, observe and analyze the experimental image, and analyze its feasibility. Through the study of threshold segmentation, region and growth segmentation and neural network segmentation, the advantages and disadvantages of gray value segmentation are compared.

參考文獻


Reid J F,Searcy S W.An algorithm for computer vision sensing of a row crop guidance directrix[J].SAE Transactions,1991,100(2):93-105.
Torii T.Research in autonomous agriculture vehicles in Japan[J].Computers and Electronics in Agriculture,2000,25:133-153.
Tillett N D,Hague T,Grundy A C.Mechanical within-row weed control for transplanted crops using computer vision[J].Biosystems Engineering,2008,99(2):155-167.
Liu Aimin, Feng Zhiming, Xu Liming. Modern precision agriculture and the development direction of precision agriculture in China [J]. Journal of China Agricultural University, 2000 (02): 20-25.
Shi Xiangjun. Research on navigation of small transplanter based on machine vision [D]. Zhejiang University of technology, 2011.

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