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Understand what agricultural systems modeling is, why systems thinking matters, and how models help interpret and predict crop performance.

Crop Growth Models — structure, inputs, and applications of DSSAT, APSIM, WOFOST, and InfoCrop simulation platforms.

Weather-Based Crop Simulation — meteorological data integration, growing degree days, water balance modeling, and weather-yield relationships.

Soil-Plant-Atmosphere Continuum — water uptake models, nutrient dynamics, evapotranspiration modeling, and SPAC concept in crop simulation.

Yield Gap Analysis — potential vs actual yield, constraint analysis, model-based diagnosis, and strategies for closing yield gaps.

Learn how agro-advisory services work in India and why weather-based advisories are important for crop decision-making.

Decision Support Systems — Nutrient Expert, STCR-based recommendations, pest forecasting systems, and DSS architecture for agriculture.

Climate Change Impact Assessment — RCP/SSP scenarios, crop model projections, adaptation planning, and mitigation strategies for Indian agriculture.