GeoEPIC

A toolkit for geospatial Crop Simulations

This package expands the capabilities of the EPIC crop simulation model, to simulate crop growth and development across large geographies, such as entire states or counties by leveraging openly availabe remote sensing products and geospatial databases. Additionally, the toolkit features a unique calibration module that allows fine-tuning of model parameters to reflect specific local conditions or experimental results. This toolkit allows researchers to assess crop production potential, management scenarios and risks at broader scales, informing decision-making for sustainable agricultural practices.

Installation

Before starting the setup, ensure you have wget and conda installed. Follow the links for corresponding installation guides. Find the detailed instructions in the setup section.

conda create --name epic_env python=3.11.9

conda activate epic_env

pip install git+https://github.com/smarsGroup/geo-epic.git

Use Cases

• Crop Yield Forecasting: Used in studies predicting crop yields under different climate scenarios.
• Sustainable Agriculture Tools: Incorporated into platforms promoting sustainable farming practices.

Contributors

• Bharath Irigireddy, Varaprasad Bandaru, Sachin Velmurgan, Rohit Nandan, SMaRS Group