APA (7th ed.) Citation

Antúnez, P., Wehenkel, C., Basave-Villalobos, E., Calixto-Valencia, C. G., Valenzuela-Encinas, C., Ruiz-Aquino, F., & Sarmiento-Bustos, D. (2025). Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches. Forest science and technology, 21(1), 110-122. https://doi.org/10.1080/21580103.2025.2456295

Chicago Style (17th ed.) Citation

Antúnez, Pablo, Christian Wehenkel, Erickson Basave-Villalobos, Celi Gloria Calixto-Valencia, César Valenzuela-Encinas, Faustino Ruiz-Aquino, and David Sarmiento-Bustos. "Predictive Modeling of Volume and Biomass in Pinus Pseudostrobus Using Machine Learning and Allometric Approaches." Forest Science and Technology 21, no. 1 (2025): 110-122. https://doi.org/10.1080/21580103.2025.2456295.

MLA (9th ed.) Citation

Antúnez, Pablo, et al. "Predictive Modeling of Volume and Biomass in Pinus Pseudostrobus Using Machine Learning and Allometric Approaches." Forest Science and Technology, vol. 21, no. 1, 2025, pp. 110-122, https://doi.org/10.1080/21580103.2025.2456295.