Metadata-Version: 2.1
Name: soil-moisture-prediction
Version: 0.0.9
Summary: Predicts soil moisture from cosmic ray neutron sensor data using a random forest model
License: EUPL 1.2
Author: Segolene Dega
Author-email: segolene.dega@ufz.de
Requires-Python: >=3.10,<4.0
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
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Description-Content-Type: text/markdown

# SOIL MOISTURE PREDICTION

## Description
This script performs soil moisture prediction using a Random Forest model based on soil properties. Additionally, it allows for incorporating soil moisture uncertainty in the input file and performs a probabilistic prediction using a Monte Carlo approach.

