Source: Proceedings of SPIE. Conference titles: SPIE CLP Conference on Advanced Photonics. Unidades: IFSC, ESALQ
Subjects: AGRICULTURA DE PRECISÃO, ANÁLISE ESPECTRAL, ILUMINAÇÃO ARTIFICIAL, INTELIGÊNCIA ARTIFICIAL, PLANTAS DANINHAS, PROCESSAMENTO DE IMAGENS, SOJA, VISÃO COMPUTACIONAL
ABNT
ODA, Yuri Sarreta et al. Weed detection among soybean plants in artificial lighting environment using multispectral images and computer vision. Proceedings of SPIE. Bellingham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1117/12.2686194. Acesso em: 31 out. 2024. , 2023APA
Oda, Y. S., Oliveira, L. O. de, Paula, S. de, Oliveira, A. O. de, & Castro Neto, J. C. de. (2023). Weed detection among soybean plants in artificial lighting environment using multispectral images and computer vision. Proceedings of SPIE. Bellingham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1117/12.2686194NLM
Oda YS, Oliveira LO de, Paula S de, Oliveira AO de, Castro Neto JC de. Weed detection among soybean plants in artificial lighting environment using multispectral images and computer vision [Internet]. Proceedings of SPIE. 2023 ; 12746 1274608-1-1274608-6.[citado 2024 out. 31 ] Available from: https://doi.org/10.1117/12.2686194Vancouver
Oda YS, Oliveira LO de, Paula S de, Oliveira AO de, Castro Neto JC de. Weed detection among soybean plants in artificial lighting environment using multispectral images and computer vision [Internet]. Proceedings of SPIE. 2023 ; 12746 1274608-1-1274608-6.[citado 2024 out. 31 ] Available from: https://doi.org/10.1117/12.2686194