Martínez-Rodrigo, R.; Águeda, B.; Ágreda, T.; Altelarrea, J.M.; Fernández-Toirán, L.M.; Rodríguez-Puerta, F.
Assessment of Mycological Possibility Using Machine Learning Models for Effective Inclusion in Sustainable Forest Management. Sustainability 2024, 16, 5656.
https://doi.org/10.3390/su16135656
AMA Style
Martínez-Rodrigo R, Águeda B, Ágreda T, Altelarrea JM, Fernández-Toirán LM, Rodríguez-Puerta F.
Assessment of Mycological Possibility Using Machine Learning Models for Effective Inclusion in Sustainable Forest Management. Sustainability. 2024; 16(13):5656.
https://doi.org/10.3390/su16135656
Chicago/Turabian Style
Martínez-Rodrigo, Raquel, Beatriz Águeda, Teresa Ágreda, José Miguel Altelarrea, Luz Marina Fernández-Toirán, and Francisco Rodríguez-Puerta.
2024. "Assessment of Mycological Possibility Using Machine Learning Models for Effective Inclusion in Sustainable Forest Management" Sustainability 16, no. 13: 5656.
https://doi.org/10.3390/su16135656
APA Style
Martínez-Rodrigo, R., Águeda, B., Ágreda, T., Altelarrea, J. M., Fernández-Toirán, L. M., & Rodríguez-Puerta, F.
(2024). Assessment of Mycological Possibility Using Machine Learning Models for Effective Inclusion in Sustainable Forest Management. Sustainability, 16(13), 5656.
https://doi.org/10.3390/su16135656