crop-modeling
There are 0 repository under crop-modeling topic.
daquinterop / Py_DSSATTools
A Python library for crop modeling using DSSAT
Language:Python 39soilwater / pynotes-agriscience
A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.
Language:Jupyter Notebook 17hollorol / AgroMo
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.
Language:R 13julienmalard / traDSSAT
A (friendly) DSSAT input and output file reader and writer.
Language:Python 12essicolo / site-specific-multilevel-modeling-of-potato-response-to-nitrogen-fertilization
🥔 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
Language:R 3GraceBarbacias / Decision-Analysis-Laser-leveling
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).
Language:HTML 2JBris / apsimx-docker
Run APSIM The Next Generation using Docker
Language:Dockerfile 2mnqoliveira / data-assimilation-tomato-models
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.
Language:R 2Plant-Food-Research-Open / FieldNBalance
Nitrogen balance model components and test procedures
Language:Jupyter Notebook 2Basic scripts to convert outputs from DSSAT files to the AgMIP template
Language:R 0Source code for the analysis submitted to the Brazilian Bioenergy Science and Technology Conference (BBEST 2017). Abstract in folder 'publications'.
Language:R 0