Machine Learning and Deep Learning for Wildfire Prediction: A Systematic and Bibliometric Review of Methods, Data Practices, and Reproducibility (2020–2025).

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Title: Machine Learning and Deep Learning for Wildfire Prediction: A Systematic and Bibliometric Review of Methods, Data Practices, and Reproducibility (2020–2025).
Authors: Galván Lara, Kevin Manuel1 (AUTHOR), Miquelajauregui, Yosune2 (AUTHOR) yosune@iecologia.unam.mx, Enriquez Ocaña, Luis Fernando3 (AUTHOR), Meling-López, Alf Enrique3,4 (AUTHOR), Neger, Christoph4,5 (AUTHOR), Abatzoglou, John5,6 (AUTHOR), Galicia, Leopoldo4,7 (AUTHOR), Hinojo, César1,3 (AUTHOR), Jiménez-Guzmán, Graciela2,6 (AUTHOR), Rodríguez Alcantar, Edelmira3,7 (AUTHOR)
Source: Fire (2571-6255). May2026, Vol. 9 Issue 5, p204. 20p.
Database: Academic Search Ultimate
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  Data: Machine Learning and Deep Learning for Wildfire Prediction: A Systematic and Bibliometric Review of Methods, Data Practices, and Reproducibility (2020–2025).
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        Value: 10.3390/fire9050204
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              Text: May2026
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              Y: 2026
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