Cite
Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion.
MLA
Chen, Jiqing, et al. “Weed Detection in Sesame Fields Using a YOLO Model with an Enhanced Attention Mechanism and Feature Fusion.” Computers & Electronics in Agriculture, vol. 202, Nov. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2022.107412.
APA
Chen, J., Wang, H., Zhang, H., Luo, T., Wei, D., Long, T., & Wang, Z. (2022). Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion. Computers & Electronics in Agriculture, 202, N.PAG. https://doi.org/10.1016/j.compag.2022.107412
Chicago
Chen, Jiqing, Huabin Wang, Hongdu Zhang, Tian Luo, Depeng Wei, Teng Long, and Zhikui Wang. 2022. “Weed Detection in Sesame Fields Using a YOLO Model with an Enhanced Attention Mechanism and Feature Fusion.” Computers & Electronics in Agriculture 202 (November): N.PAG. doi:10.1016/j.compag.2022.107412.