Predicting weed invasion in a sugarcane cultivar using multispectral image (2019)
In: Journal of Applied Statistics
Subjects: CANA-DE-AÇÚCAR HERBICIDAS MODELOS MATEMÁTICOS PLANTAS DANINHAS REGRESSÃO LOGÍSTICA
ABNT
RIGHETTO, Ana J; RAMIRES, Thiago G; NAKAMURA, Luiz R; et al. Predicting weed invasion in a sugarcane cultivar using multispectral image. Journal of Applied Statistics, Abingdon, Taylor & Francis, v. 46, n. 1, p. 1-12, 2019. Disponível em: < https://dx.doi.org/10.1080/02664763.2018.1450362 > DOI: 10.1080/02664763.2018.1450362.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.Available from: https://dx.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.Available from: https://dx.doi.org/10.1080/02664763.2018.1450362