Rodrigues, L.; Magalhães, S.A.; da Silva, D.Q.; dos Santos, F.N.; Cunha, M.
Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops. Agronomy 2023, 13, 463.
https://doi.org/10.3390/agronomy13020463
AMA Style
Rodrigues L, Magalhães SA, da Silva DQ, dos Santos FN, Cunha M.
Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops. Agronomy. 2023; 13(2):463.
https://doi.org/10.3390/agronomy13020463
Chicago/Turabian Style
Rodrigues, Leandro, Sandro Augusto Magalhães, Daniel Queirós da Silva, Filipe Neves dos Santos, and Mário Cunha.
2023. "Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops" Agronomy 13, no. 2: 463.
https://doi.org/10.3390/agronomy13020463
APA Style
Rodrigues, L., Magalhães, S. A., da Silva, D. Q., dos Santos, F. N., & Cunha, M.
(2023). Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops. Agronomy, 13(2), 463.
https://doi.org/10.3390/agronomy13020463