A Python library for crop modeling using DSSAT

A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.

AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.

A (friendly) DSSAT input and output file reader and writer.

Code used in the project "Leveraging data assimilation and monitoring data for improvement of crop growth estimates in protected environments". It includes tomato models implementations, and scripts for data preparation, model calibration, assimilation, sensitivity analysis, visualization strategies and other assessments performed.

🥔 Supplementary material for Parent, S.-É., Leblanc, M., Parent, A.-C., Coulibali, Z. and Parent, L.E. (2017). Site-specific multilevel modeling of potato response to nitrogen fertilization. DOI: 10.3389/fenvs.2017.00081

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

Nitrogen balance model components and test procedures

Group project by Mary Grace Barbacias, Marina Bigerna, Sara Florido, Arnaud Kentsa, and Frederic Schoenbach under Prof Corey Whitney and Eike Luedeling in Decision Analysis and Forecasting in Agricultural Development module at Bonn University. Makes use of the R package decisionSupport (Luedeling et. al).

Run APSIM The Next Generation using Docker

Oil palm growth and yield model for Malaysian growing conditions

Source code for the analysis submitted to the Brazilian Bioenergy Science and Technology Conference (BBEST 2017). Abstract in folder 'publications'.

Basic scripts to convert outputs from DSSAT files to the AgMIP template