Precision agriculture intelligent connection network based on visual navigation

Autor: Sudan Chen, Mingkun Zhang, Xiuzhen Li, Xueqiang Li, Wanying Liu, Baofeng Ji
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Networks, Vol 12, Iss 4, Pp 167-178 (2023)
Druh dokumentu: article
ISSN: 2047-4962
2047-4954
DOI: 10.1049/ntw2.12068
Popis: Abstract In the process of contemporary agricultural production, the application of intelligent connection and automatic navigation technology of modern agricultural machinery is increasingly common. The application of visual navigation technology in the field of intelligent connection of agricultural machines can provide accurate and reliable positioning signals for agricultural machines so as to carry out intelligent and automatic agricultural machinery operations. In order to realise precision agricultural operation and intelligent navigation, a network of combining decision‐making by using visual navigation recognition and image processing is proposed. The system design mainly includes two parts: visual navigation system and control network. Agricultural machinery uses monocular vision image acquisition to collect farmland image. The computer analyzes the image, extracts the navigation centreline, obtains the navigation path information, and completes the identification and positioning of the navigation path. The simulation process verifies that the designed image navigation precision agricultural intelligent connection network can provide efficient, precise, and intelligent control of agricultural machinery.
Databáze: Directory of Open Access Journals
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