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Crop Modeling and Simulation for Agricultural Production Management
Online
12 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study |
Important dates
Certificate Exam Date
Start Date : 19 Apr, 2026
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Kharagpur |
The Syllabus
- Introduction to crop production system, Crop classification, Crop growth and development, Crop ecosystem and agroclimatic zones
- Crop growth factors and growth laws, Effect of climatic factors, Solar radiation interception concept for biomass accumulation and yield prediction, Growing Degree Days concept for growth duration and yield prediction
- Introduction to crop modeling and simulation, Decision support system (DSS), Types of crop model, Experiment and data requirement in crop model
- Crop simulation: Terminologies, Simulation approach, Objectives in modeling and simulation
- Concepts of crop modeling: Compartment model symbols, State variables working principle, Crop systems model for different production situations
- Potential production simulation: Input factors, duration and growth rate simulation, Yield formation
- DSSAT model: Introduction, application, crops involved, Modules, Biomass yield simulation in CERES model
- File system of DSSAT: Input file, File naming, Input data for model simulation, statistical technique for calibration and validation
- Application of models as risk management tools, Uncertainty and risk analysis, Climate Risk management (CRM), Support for crop insurance scheme
- Hands on DSSAT: Genotype coefficient estimation in CERES and other models, experimental data inputs, soil data inputs, weather data inputs, management data inputs
- Hands on Exercises: Evaluation of production management inputs (water, nutrients, soil, weather, etc.) and discussion of the results
- Group assignment presentation and discussion (Focus: Why crop modeling, Yield response, technology recommendation, CRM tools, etc.)