Oliveira, F.; da Silva, D.Q.; Filipe, V.; Pinho, T.M.; Cunha, M.; Cunha, J.B.; dos Santos, F.N.
Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis. Sensors 2024, 24, 6774.
https://doi.org/10.3390/s24216774
AMA Style
Oliveira F, da Silva DQ, Filipe V, Pinho TM, Cunha M, Cunha JB, dos Santos FN.
Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis. Sensors. 2024; 24(21):6774.
https://doi.org/10.3390/s24216774
Chicago/Turabian Style
Oliveira, Francisco, Daniel Queirós da Silva, VÃtor Filipe, Tatiana Martins Pinho, Mário Cunha, José Boaventura Cunha, and Filipe Neves dos Santos.
2024. "Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis" Sensors 24, no. 21: 6774.
https://doi.org/10.3390/s24216774
APA Style
Oliveira, F., da Silva, D. Q., Filipe, V., Pinho, T. M., Cunha, M., Cunha, J. B., & dos Santos, F. N.
(2024). Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis. Sensors, 24(21), 6774.
https://doi.org/10.3390/s24216774
