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.

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

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.

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.

Oil palm growth and yield model for Malaysian growing conditions

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

🥔 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

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

Nitrogen balance model components and test procedures

CropForge is an open-source, code-first virtual farm runtime that enables agricultural researchers to define, execute, and visually analyse crop simulations entirely from Python code. It is distributed as a pip-installable package and runs completely on the researcher's local machine.

Assumptions tracking for WOFOST Potato using behaviour-driven development.

Quarto source code for my master's thesis "Remote Sensing of Foliar Nitrogen in Californian Almonds" (2023)

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

Modelling and Evaluation framework for the Master Thesis "Rooting in Soil and Science: Process-Based Modelling and Uncertainty Quantification of Perennial Wheat Growth in Skane, Sweden" (2026, Lund University)

The aim of this study is to predict grain yield (tons/hect.) of a set of maize hybrids sharing a common parent by using their genomic and reaction norm data. All of the analysis was conducted using R.

Sensor-free, crop-agnostic FAO-56 irrigation advisory system (olive validated; more crops on the roadmap)

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

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