crop-modeling

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.

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.

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.

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.

Oil palm growth and yield model for Malaysian growing conditions

Curated, auto-refreshed list of open-source crop and agricultural process models on GitHub

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

Nitrogen balance model components and test procedures

A Python-based framework for calibrating SWAP soil hydraulic parameters using Optuna, running SWAP simulations, and evaluating results against field observations.

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

Personal site and blog of Tess Kern: data science in R for crop modeling, genomic prediction, and plant breeding.

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'.

Browser-based 3-D simulator for agrivoltaic (Agri-PV) systems: ground shading, sky-view factor, crop light (RSR, DLI) and bifacial PV energy from one 3-D array model. Runs offline in a single HTML file. Community edition, MIT licence.

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.