NIRS_Workflow

Getting started

This package aims to provide a workflow for users who want to perform chemical analyses and predict characteristics using the NIRS technique.

The process includes:

• sample selection - you can upload all your NIRS spectra and it'll help to select the samples to analyse chemically.

• model creation - the PINARD (https://github.com/GBeurier/pinard) package creates a prediction model with spectra and related chemical analysis.-

• predictions - the PINARD package uses the model to predict chemical values for unknown samples.

Installation

This package is written in python. You can clone the repository: git clone https://src.koda.cnrs.fr/nicolas.barthes.5/nirs_workflow.git

Then install the requirements: pip install -r requirements.txt

You can then run: streamlit run ./app.py from the CLI.

The app will then open in your default browser.

Usage

The web app allows you to process sample selection, model creation and predictions.

Authors and acknowledgment

Contributors:

• Nicolas Barthes (CNRS)

License

CC BY