📚 Syllabus & Course Curriculum
Agriculture & Food Technology
Module-by-module breakdown of AI-Driven Climate-Smart Agriculture and Sustainable Food Systems, from foundations to a certified capstone project.
Outline
Understand and explore crop, climate, and soil datasets • Clean missing values, outliers and harmonize units • Engineer features from rainfall, temperature, soil, and seasonal patterns
Outline
Build regression models for crop‑yield prediction • Create classification models for suitability and risk analysis • Evaluate performance using RMSE, MAE, R², accuracy, precision, recall, F1‑score
Outline
Process Sentinel‑2 / Landsat imagery for NDVI calculation • Map crop‑health and detect vegetation stress • Visualize geospatial data for decision‑making
Outline
Combine agricultural, climate, and satellite data into a unified pipeline • Develop a end‑to‑end mini project delivering sustainable solutions • Prepare technical reporting and visualization for professional use
Earn government-registered certification in AI-Driven Climate-Smart Agriculture and Sustainable Food Systems
e-Certificate and e-Marksheet issued on successful completion.
