Practical
Working with statistical and simulation models, DSSAT models, InfoCrop, Oryza, etc.
| Course Name | Crop weather models |
| Course Code | 25AGR518 |
| Program | M. Sc. (Agriculture) in Agronomy |
| Campus |
Practical
Working with statistical and simulation models, DSSAT models, InfoCrop, Oryza, etc.
Principles of crop production; effect of weather elements on crop responses; impact of natural and induced variability of climate on crop production.
Introduction and application to crop modeling, types of models, Empirical and statistical crop weather models their application with examples; concept of crop growth model in relation to weather, soil, plant and other environmental related parameters and remote sensing inputs; growth and yield prediction models;
Dynamic crop simulation models, e.g. DSSAT, InfoCrop, APSIM, CropSyst, etc.; optimization, calibration and validation of models. Weather data and physiology- based approaches to modeling of crop growth and yield; forecasting of pests and diseases; stochastic models; advantages and limitation of modeling.
To impart the theoretical and practical knowledge of various models for estimation of crop weather responses.
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