Documentation available here.
The agrodem model provides an estimate of water and electricity requirements for ground and/or surface water irrigation. It works for one crop at a time. Statial distribution of this crop over the area of interest (AoI) can represent current or projected values. This repository provides code, material (to the extent possible) and instructions for replicating and/or customizing the model as needed.
- agrodem.ipynb contains the core code of the irrigation model
- agrodem_sample_input_data directory contains sample input data for testing; data represent 1000 maize locations in Mozambique
- Pilot_Moz_Maize_Sample_1km.csv
- Pilot_Input_Crop_Calendar_Maize.xlsx
- agrodem_sample_output_data directory contains indicative results of the agrodem model
- Sample_Moz_Maize_2017_1km_Results.csv
- map_Moz_Maize_sample_2017.html
- pyeto directory contains modules needed to properly run agrodem.ipynb
- docs directory contains supporting project documentation
- agrodem_preprocessing directory contains scripts, Qgis plugins and sample files needed to prepare input files to the agrodem model
- Agrodem_Preping
- Downscaling (FLAT model)
- Future scenarios
- agrodem_postprocessing directory contains scripts and sample files related to post analysis
- Post-harvesting
- Crossvalidation
- agrodem_environment.yml environment info for setting up package requirements related only to the agrodem.ipynb -full_project_environment.yml environment info for setting up package requirements for all supporting processes in this repository
Note! that sample input/output data are not fully representative but only indicative for Mozambique.
Install from GitHub
Download repository directly or clone it to you designated local directory using:
git clone https://github.com/alekordESA/agrodem.git
Requirements
The agrodem module (as well as all supporting scripts in this repo) have been developed in Python 3. We recommend installing Anaconda's free distribution as suited for your operating system.
Once installed, open anaconda prompt and move to your local "agrodem" directory using:
> cd ..\agrodem
In order to be able to run the agrodem model (agrodem.ipynb) you should install all necessary packages. "agrodem_environment.ylm" contains all of these and can be easily set up by creating a new virtual environment using:
conda env create --name agrodem_run --file agrodem_environment.ylm
This might take a while.. When complete, activate the virtual environment using:
conda activate agrodem_run
With the environment activated, you can now move to the agrodem directory and start a "jupyter notebook" session by simply typing:
..\agrodem> jupyter notebook
Note 1 Use full_project_environment.yml under the same instructions to set up a supporting environment for all processes described in this repo.
Note 2 that pyeto is also needed and can be installed from https://github.com/woodcrafty/PyETo.git
Conceptualization & Methodological review : Alexandros Korkovelos & Konstantinos Pegios
Code development Konstantinos Pegios, Alexandros Korkovelos & Babak Khavari
Review, Updates, Modifications: Alexandros Korkovelos, Youssef Almulla & Camilo Ramírez
Supervision, Review and Advisory support: Mark Westcott, Neeraj Baruah & Ines Pozas Franco
Funding: The World Bank (contract number: 7190531), KTH