A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Improved Real-Time Semantic Segmentation Network Model for Crop Vision Navigation Line Detection
2022
Frontiers in Plant Science
Field crops are generally planted in rows to improve planting efficiency and facilitate field management. Therefore, automatic detection of crop planting rows is of great significance for achieving autonomous navigation and precise spraying in intelligent agricultural machinery and is an important part of smart agricultural management. To study the visual navigation line extraction technology of unmanned aerial vehicles (UAVs) in farmland environments and realize real-time precise farmland UAV
doi:10.3389/fpls.2022.898131
pmid:35720554
pmcid:PMC9201824
fatcat:4rcc5dicfnb75gw4bwbn7prdta