There are 3 repositories under crop-model topic.
A Python library for crop modeling using DSSAT
Estimate Crop Models' parameters
CropML Python library
Source code for maize or corn (Zea Mays) simulation model
:corn: Machine learning model for crop yield prediction
A mobile application involving machine learning to recommend crop variety and also predict crop yield.
Python library for Smart Farming data and modelling. Enables reading of ISOBUS task files, EO data from SentinelHub and interfacing APSIM simulation models.
R-package for simulating climate-driven crop calendars
Using Earth observation for Crop Monitoring (iEOCM) Workshop
Open datasets for crop modeling describing climate and soil in France.
Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra
Pre- Post- process python for DSSAT
🍃 coupled leaf gas-exchange model
Model of wheat phenology of the crop growth simulation model SiriusQuality
A Generic Model to Simulate Air-Borne Diseases as a Function of Crop Architecture (doi:10.1371/journal.pone.0049406)
🌱 example of DSSAT-like crop model written in Cropbox
Run APSIM The Next Generation using Docker
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.
Nitrogen balance model components and test procedures
Cropbox Modeling Workshop 2021 in Korea (2021-11 ~ 12 @ Zoom)
Cropbox Modeling Workshop 2022 in Korea (2022-08-25/26 @ Zoom)
Cropbox Modeling Workshop 2022 in Taiwan (2022-12-26 ~ 30 @ NTU)
A simple implementation for course project. The topic is to predict the fresh weight, dry weight, and leaf area with EfficientNet B7.
Source code for the analysis submitted to the Brazilian Bioenergy Science and Technology Conference (BBEST 2017). Abstract in folder 'publications'.