Moreira, G.; Magalhães, S.A.; Pinho, T.; dos Santos, F.N.; Cunha, M.
Benchmark of Deep Learning and a Proposed HSV Colour Space Models for the Detection and Classification of Greenhouse Tomato. Agronomy 2022, 12, 356.
https://doi.org/10.3390/agronomy12020356
AMA Style
Moreira G, Magalhães SA, Pinho T, dos Santos FN, Cunha M.
Benchmark of Deep Learning and a Proposed HSV Colour Space Models for the Detection and Classification of Greenhouse Tomato. Agronomy. 2022; 12(2):356.
https://doi.org/10.3390/agronomy12020356
Chicago/Turabian Style
Moreira, Germano, Sandro Augusto Magalhães, Tatiana Pinho, Filipe Neves dos Santos, and Mário Cunha.
2022. "Benchmark of Deep Learning and a Proposed HSV Colour Space Models for the Detection and Classification of Greenhouse Tomato" Agronomy 12, no. 2: 356.
https://doi.org/10.3390/agronomy12020356
APA Style
Moreira, G., Magalhães, S. A., Pinho, T., dos Santos, F. N., & Cunha, M.
(2022). Benchmark of Deep Learning and a Proposed HSV Colour Space Models for the Detection and Classification of Greenhouse Tomato. Agronomy, 12(2), 356.
https://doi.org/10.3390/agronomy12020356