Prediction of Exchangeable Potassium in Soil through Mid-Infrared and Deep Learning paper code

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License: Apache Software License (Apache Software License 2.0)

Author: Franck Albinet

Tags high-throuput, soil, characterization, remediation

Requires: Python >=3.6

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Project description

mirzai

Reproducible research code for: "Prediction of Exchangeable Potassium in Soil through Mid-Infrared Spectroscopy and Deep Learning: from Prediction to Explainability", Albinet et al., 2022

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pip install mirzai

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License: Apache Software License (Apache Software License 2.0)

Author: Franck Albinet

Tags high-throuput, soil, characterization, remediation

Requires: Python >=3.6

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0.4.0

0.3.2

0.3.1

0.3.0

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.1

0.2.0

0.1.2

0.1.1

0.1.0

0.0.3

This version

0.0.2

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