|
Day
|
Time
|
Topic
|
Resource person
|
|
Day-1
|
9.00-9.30 AM
|
Inauguration
|
|
9.30-10.15 AM
|
Foundations of Digital & Precision Agriculture : Introduction to digital agriculture in India; concept of precision agriculture and site-specific farm management; government digital agriculture initiatives; components of modern agricultural decision support; role of data, AI, IoT, GIS, satellite technology, and crop models in agricultural planning and risk reduction.
|
Dr. Debapriya Dutta
|
|
10.15-10.30 AM
|
TEA BREAK
|
|
10.30 AM-1.00 PM
|
Crop Modelling for Yield Prediction and Scenario Analysis: Crop growth, water balance, and crop–climate interactions; crop model setup and simulation; required model inputs; applications in yield prediction, scenario analysis, and climate impact assessment.
|
Dr. Soundharajan; Dr. Masoud B
|
|
1.00-2.00 PM
|
LUNCH BREAK
|
|
2.00-4.00 PM
|
Data Platforms for Weather, Soil & Remote Sensing:
Weather data sources: NASA PO WER, ERA5, IMD; soil data platforms: SoilGrids, NBSS&LUP; satellite data platforms: Copernicus Hub, USGS EarthExplorer, Google Earth Engine, crop masks and LULC datasets.
Demo/case study
|
Dr. Raji Pushpalatha
|
|
Day-2
|
9.00 AM-1.00 PM
|
IoT for Digital Agriculture – Real-Time Farm Monitoring and Decision Support:
Role of IoT in digital agriculture systems; key sensors for crop and farm monitoring; examples of how sensor data can support crop models, AI-based insights, and agricultural decision support; low-cost IoT approaches suitable for Indian farming conditions
|
Dr. Aryadevi RD
|
|
1.00-2.00 PM
|
LUNCH BREAK
|
|
2.00 – 4.00 PM
|
AI & Machine Learning for Crop Yield Prediction:
Why AI for digital agriculture?; Feature engineering from weather & vegetation indices; ML algorithms for agricultural prediction (Random Forest, XGBoost, ANN); Deep learning approaches (CNN for satellite data); Hybrid modelling;
|
Dr. Archana Nair
|
|
4.00
|
TEA BREAK
|
|
Day-3
|
9.00 – 11.00 AM
|
AI & Machine Learning for Crop Yield Prediction: Demo/case study
|
Dr. Archana Nair
|
|
11.00-11.15 AM
|
TEA BREAK
|
|
11.15 AM-1.15 PM
|
Risk Assessment & Climate Analytics:
GIS-based agricultural risk mapping exercise; real-world case study on climate risk assessment and early warning-based farm decision making; development of a simple risk advisory for a selected crop or region
|
Dr. Raji Pushpalatha
|
|
1.15 – 2.00 PM
|
LUNCH BREAK
|
|
2.00 – 3.30 PM
|
Remote Sensing Foundations for Crop Monitoring:
Satellite-based crop monitoring foundations; vegetation indices for assessing crop condition; illustrative crop condition map examples
|
Dr. Masoud B
|
|
3.30-3.45 PM
|
Post evaluation
|
|
3.45-4.00 PM
|
Closing ceremony
|
