Programme Content
Indian agriculture: structure, scale & stakeholders
Core challenges in Indian agriculture
The agritech landscape
Technology adoption & inclusion
Learning Outcome: Identify where technology can address challenges across the agricultural system.
2. IoT, Sensors & Cyber-Physical Systems in AgricultureFoundations of sensing
Sensors across the farm
Connectivity & data infrastructure
Cyber-physical systems in farming
Industry applications
Learning Outcome: Assess how sensors and connected systems capture field data for agricultural decisions.
3. Drones, Remote Sensing & Geospatial IntelligenceRemote sensing fundamentals
Agricultural applications of remote sensing
Geospatial intelligence and GIS
Drones in agriculture
Platforms and emerging directions
Learning Outcome: Evaluate how drones, remote sensing and geospatial data can reveal crop and field conditions at scale.
4. Data, AI & Predictive Analytics in AgricultureFoundations of agricultural data
Introduction to AI & machine learning
Predictive applications in agriculture
Computer vision & deep learning
AI for agricultural credit, risk scoring & rural finance
Learning Outcome: Assess how agricultural data and AI can inform predictions, credit assessment and risk decisions.
5. Digital Agriculture, Digital Public Infrastructure & Platform EcosystemsDigital agriculture: concept & evolution
India's agricultural digital public infrastructure
Data exchange, standards & governance
Platform ecosystems & service delivery
AI-enabled crop insurance, climate risk & financial loss prediction
Learning Outcome: Evaluate how digital public infrastructure and platform ecosystems enable data-driven agricultural services, insurance and risk management.
6. Post-Harvest, Market Linkages & AgriTech Business ModelsPost-harvest losses & technologies
Storage, warehousing & warehouse finance
Supply chain digitisation & traceability
Market linkages & price discovery
Agritech business models & commercialisation
Learning Outcome: Evaluate how post-harvest systems, market linkages and business models create value beyond the farm.
7. Capstone ProjectLearning Outcome: Develop a solution to a real Agritech challenge.
The module list is indicative and can be modified at the discretion of the Programme Coordinator.
