Iñiguez, J. C., Barrera Guzmán, L. Á., Arévalo Galarza, M. d. L. C., Cadena Zamudio, D. A., Watanabe, K. N., Arévalo Galarza, G. A., & Aguirre Medina, J. F. (2024). Potential distribution modeling based on machine learning of Sechium edule (Jacq.) Sw. in Japan. Genetic Resources and Crop Evolution: An International Journal, 71(5), 2105-2115. https://doi.org/10.1007/s10722-023-01739-w
Chicago-referens (17:e uppl.)Iñiguez, Jorge Cadena, Luis Ángel Barrera Guzmán, Ma. de Lourdes C. Arévalo Galarza, Daniel Alejandro Cadena Zamudio, Kazuo N. Watanabe, Gustavo Antonio Arévalo Galarza, och Juan Francisco Aguirre Medina. "Potential Distribution Modeling Based on Machine Learning of Sechium Edule (Jacq.) Sw. in Japan." Genetic Resources and Crop Evolution: An International Journal 71, no. 5 (2024): 2105-2115. https://doi.org/10.1007/s10722-023-01739-w.
MLA-referens (9:e uppl.)Iñiguez, Jorge Cadena, et al. "Potential Distribution Modeling Based on Machine Learning of Sechium Edule (Jacq.) Sw. in Japan." Genetic Resources and Crop Evolution: An International Journal, vol. 71, no. 5, 2024, pp. 2105-2115, https://doi.org/10.1007/s10722-023-01739-w.
