Zhibin Zhang1,2,*, Ping Li1,3, Shuailing Zhao1,2, Zhimin Lv1,2, Fang Du1,2, Yajian An1,2
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1043-1056, 2021, DOI:10.32604/cmc.2020.012517
Abstract As the agricultural internet of things (IoT) technology has evolved,
smart agricultural robots needs to have both flexibility and adaptability when
moving in complex field environments. In this paper, we propose the concept
of a vision-based navigation system for the agricultural IoT and a binocular vision
navigation algorithm for smart agricultural robots, which can fuse the edge contour and the height information of rows of crop in images to extract the navigation
parameters. First, the speeded-up robust feature (SURF) extracting and matching
algorithm is used to obtain featuring point pairs from the green crop row images
observed by the binocular… More >
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