Mu, Y.; Feng, R.; Ni, R.; Li, J.; Luo, T.; Liu, T.; Li, X.; Gong, H.; Guo, Y.; Sun, Y.;
et al. A Faster R-CNN-Based Model for the Identification of Weed Seedling. Agronomy 2022, 12, 2867.
https://doi.org/10.3390/agronomy12112867
AMA Style
Mu Y, Feng R, Ni R, Li J, Luo T, Liu T, Li X, Gong H, Guo Y, Sun Y,
et al. A Faster R-CNN-Based Model for the Identification of Weed Seedling. Agronomy. 2022; 12(11):2867.
https://doi.org/10.3390/agronomy12112867
Chicago/Turabian Style
Mu, Ye, Ruilong Feng, Ruiwen Ni, Ji Li, Tianye Luo, Tonghe Liu, Xue Li, He Gong, Ying Guo, Yu Sun,
and et al. 2022. "A Faster R-CNN-Based Model for the Identification of Weed Seedling" Agronomy 12, no. 11: 2867.
https://doi.org/10.3390/agronomy12112867
APA Style
Mu, Y., Feng, R., Ni, R., Li, J., Luo, T., Liu, T., Li, X., Gong, H., Guo, Y., Sun, Y., Bao, Y., Li, S., Wang, Y., & Hu, T.
(2022). A Faster R-CNN-Based Model for the Identification of Weed Seedling. Agronomy, 12(11), 2867.
https://doi.org/10.3390/agronomy12112867