Machine learning in vadose zone hydrology: A flashback

نویسندگان

چکیده

Artificial intelligence (AI) and machine learning (ML) have been recently applied extensively in various disciplines of vadose zone hydrology. However, not much attention has paid to their database-dependent accuracy uncertainty, reproducibility, delivery, which undermines applications real-world problems. We discuss lessons from the past emphasize need for lack fundamental protocols (i.e., detailed clarification on data processing, ML models accessibility, a clear path reproducing results).

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ژورنال

عنوان ژورنال: Vadose Zone Journal

سال: 2022

ISSN: ['1539-1663']

DOI: https://doi.org/10.1002/vzj2.20212