Field-road classification for GNSS recordings of agricultural machinery using pixel-level visual features.

MLA

Chen, Ying, et al. “Field-Road Classification for GNSS Recordings of Agricultural Machinery Using Pixel-Level Visual Features.” Computers & Electronics in Agriculture, vol. 210, July 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2023.107937.

APA

Chen, Y., Quan, L., Zhang, X., Zhou, K., & Wu, C. (2023). Field-road classification for GNSS recordings of agricultural machinery using pixel-level visual features. Computers & Electronics in Agriculture, 210, N.PAG. https://doi.org/10.1016/j.compag.2023.107937

Chicago

Chen, Ying, Lei Quan, Xiaoqiang Zhang, Kun Zhou, and Caicong Wu. 2023. “Field-Road Classification for GNSS Recordings of Agricultural Machinery Using Pixel-Level Visual Features.” Computers & Electronics in Agriculture 210 (July): N.PAG. doi:10.1016/j.compag.2023.107937.