📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Techniques and Tools for Smart Farming, from foundations to a certified capstone project.
Outline
Explore the fundamentals of Smart Farming and digital agriculture • Deploy drones for crop monitoring and precision application • Implement IoT sensors for field monitoring and automation • Apply AI/ML for crop prediction and disease detection
Outline
Assess the role of sustainability in modern agriculture • Design urban and vertical farming systems (hydroponics, aquaponics, smart greenhouses) • Adopt carbon‑neutral and regenerative agricultural approaches • Implement smart waste management and circular‑economy solutions
Outline
Identify big‑data sources and their strategic importance in agriculture • Perform data analytics for crop‑yield optimization and resource planning • Utilize Farm Management Information Systems and smart decision platforms • Build AI predictive models for climate‑resilient farming
Earn government-registered certification in Techniques and Tools for Smart Farming
e-Certificate and e-Marksheet issued on successful completion.
