Curriculum
- 8 Sections
- 28 Lessons
- 1 Day
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- Module 1: Introduction to Agritech in India3
- Module 2: Emerging Technologies in Agritech4
- 2.1Precision agriculture: IoT sensors, drones, and satellite imagery.
- 2.2Artificial Intelligence (AI) and Machine Learning (ML) in crop health monitoring, yield prediction, and pest management
- 2.3Blockchain for supply chain traceability and smart contracts.
- 2.4Big Data analytics for farm optimization and predictive modeling.
- Module 3: Disruptive Business Models in Agritech4
- Module 4: Sustainability and Climate-Resilient Agriculture4
- Module 5: Sector-Specific Tools and Metrics3
- 5.1Tools: Farm management software (e.g., Cropin, DeHaat), drone platforms (e.g., Skymet), and IoT devices
- 5.2Metrics for evaluating agritech startups: farmer adoption rates, cost savings, yield improvements, and scalability.
- 5.3Case studies of successful agritech startups (e.g., Ninjacart, Stellapps, BharatAgri).
- Module 6: Policy and Regulatory Framework3
- Module 7: Investment Decision Framework4
- Module 8: Cohort-Based Exercises3