APA (7th ed.) Citation

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 Style (17th ed.) Citation

Iñiguez, Jorge Cadena, Luis Ángel Barrera Guzmán, Ma. de Lourdes C. Arévalo Galarza, Daniel Alejandro Cadena Zamudio, Kazuo N. Watanabe, Gustavo Antonio Arévalo Galarza, and 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 (9th ed.) Citation

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.