KAILUN, Jiang, WENJIANG, Huang und PING, He, 2025. Dual-task segmentation of oilseed rape and weeds in agricultural fields: A hybrid approach combining enhanced UNet and unsupervised clustering. Computers and Electronics in Agriculture. 1 Januar 2025. DOI 10.1016/j.compag.2025.110827.
Elsevier - Harvard (with titles)Kailun, J., Wenjiang, H., Ping, H., 2025. Dual-task segmentation of oilseed rape and weeds in agricultural fields: A hybrid approach combining enhanced UNet and unsupervised clustering. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2025.110827
American Psychological Association 7th editionKailun, J., Wenjiang, H., & Ping, H. (2025). Dual-task segmentation of oilseed rape and weeds in agricultural fields: A hybrid approach combining enhanced UNet and unsupervised clustering. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2025.110827
Springer - Basic (author-date)Kailun J, Wenjiang H, Ping H (2025) Dual-task segmentation of oilseed rape and weeds in agricultural fields: A hybrid approach combining enhanced UNet and unsupervised clustering. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2025.110827
Juristische Zitierweise (Stüber) (Deutsch)Kailun, Jiang/ Wenjiang, Huang/ Ping, He, Dual-task segmentation of oilseed rape and weeds in agricultural fields: A hybrid approach combining enhanced UNet and unsupervised clustering, Computers and Electronics in Agriculture 2025.