Agricultural Production Systems Simulator (APSIM) Training for MENA Researchers
Start Date
December 15, 2025
End Date
December 18, 2025
Type
Online course
APSIM Training
ICARDA is pleased to announce an online training on the Agricultural Production Systems Simulator (APSIM) Next Generation, one of the world’s most advanced crop and farming systems models. The training will take place from 15 to 18 December 2025 and is open for beginner to intermediate level crop simulation modelers from across the Middle East and North Africa (MENA) region.
This training will introduce participants to the setup, calibration, validation, and application of the APSIM model especially for the dryland crops considering dryland soil, climate and management practices.
The training will cover the following topics:
APSIM interface and simulation setup
Modelling crop growth and development
Model calibration, validation, and sensitivity analysis
Soil–water and nitrogen dynamics
Sowing, irrigation, and fertiliser management
Genotype x Environment x Management interactions
Prepare and run model for single crop and crop rotation
Scenario analysis under future climate change
By the end of the training, participants will be able to:
Prepare input datasets (soil, weather, and crop management).
Conduct and interpret scenario analyses.
Develop and share reusable simulation templates.
Communicate results effectively to support agronomic and policy decisions.
Eligibility and Application
The training is open to researchers, postgraduate students, and early-career scientists affiliated with National Agricultural Research and Extension Systems (NARES), universities, and partners. Participants working in fields such as agronomy and crop modeling, irrigation and soil–water management, climate change adaptation, and digital agronomy are particularly encouraged to apply.
The course will be conducted in English, and all participants who successfully complete the training will receive an ICARDA Certificate of Completion. Selection will be based on applicants’ background and interest, and anticipated career in crop simulation modeling, big data, and decision support. Early applications are encouraged, as participation is limited to 30-40 candidates. Selected candidates will be notified in due course.
Application deadline: 30 November 2025
