Predicting weed invasion in a sugarcane cultivar using multispectral image (2019)
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, HERBICIDAS, MODELOS MATEMÁTICOS, PLANTAS DANINHAS, REGRESSÃO LOGÍSTICA
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RIGHETTO, Ana J et al. Predicting weed invasion in a sugarcane cultivar using multispectral image. Journal of Applied Statistics, v. 46, n. 1, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1450362. Acesso em: 17 out. 2024.APA
Righetto, A. J., Ramires, T. G., Nakamura, L. R., Castanho, P. L. D. B., Faes, C., & Savian, T. V. (2019). Predicting weed invasion in a sugarcane cultivar using multispectral image. Journal of Applied Statistics, 46( 1), 1-12. doi:10.1080/02664763.2018.1450362NLM
Righetto AJ, Ramires TG, Nakamura LR, Castanho PLDB, Faes C, Savian TV. Predicting weed invasion in a sugarcane cultivar using multispectral image [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 1-12.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2018.1450362Vancouver
Righetto AJ, Ramires TG, Nakamura LR, Castanho PLDB, Faes C, Savian TV. Predicting weed invasion in a sugarcane cultivar using multispectral image [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 1-12.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2018.1450362