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research-article
March 2020
Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network
Computers and Electronics in Agriculture (COEA), Volume 170, Issue Chttps://doi.org/10.1016/j.compag.2020.105280
Highlights

Artificial Neural Networks (ANNs) have a low requirement of input information.
...
Abstract
Accurate predictions of surface runoff and soil erosion after wildfire help land managers adopt the most suitable actions to mitigate post-fire land degradation and rehabilitation planning. The use of the Artificial Neural Networks (...
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