Certificate Course on Integrated Capacity Building on Digital Agriculture: Crop Models, AI, IoT & Risk Mapping

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