Digital Agriculture & Datasets
Orientation, SDGs, precision agriculture and introduction to datasets.
4-WEEK EXPERIENTIAL INTERNSHIP, DECEMBER 2026
Community-Centred Data Collection, Analytics & Visualization
A hands-on learning experience connecting computing, data, technology and communities through IoT, GIS, remote sensing, climate data, programming and Live-in-Labs® community immersion.
Working Days
B.Tech Computer Science
Field-Based
Not just classroom training.
Not just fieldwork.
The Digital Agriculture Internship Programme is a four-week experiential learning programme designed for third-year B.Tech Computer Science students. Students will work with real datasets, explore digital technologies, collect field-level information, engage with communities and develop community-focused technical recommendations.
Programme Fee
The programme fee covers food and accommodation.
₹15,000 / student
What will you actually do?
Process and analyse GIS, satellite and remote-sensing information.
Work with sensors, calibration, data logging and environmental observations.
Vector Databases, RAG, End-to-End LLM Architecture, APIs, Authentication, Logging, Fine-tuning, LLMOps, MLOps and AIOps.
Apply Participatory Rural Appraisal tools to understand community contexts.
Clean and analyse datasets using Python and related tools.
Prepare a technical report and present findings and recommendations.
Tools and datasets
Software & Tools
Datasets
From data to community insight
01
COLLECT
02
PROCESS
03
ANALYSE
04
ENGAGE
05
INTERPRET
06
COMMUNICATE
IoT observations, satellite data, climate data and field information are brought together through programming, GIS, remote sensing, data analytics and community engagement.
How the internship is assessed
| Assessment Component | Weightage |
| Community Engagement | 20% |
| IoT Implementation | 15% |
| GIS & Remote Sensing | 20% |
| Climate Data Analysis | 10% |
| Programming & Database | 15% |
| Report & Presentation | 20% |
| Total | 100% |
What you will gain
Data & Technology
Practical experience in data extraction and analysis, GIS, remote sensing, IoT observations, Python and visualization.
Field Experience
Exposure to field-level data collection, community engagement, farmer surveys and PRA.
Analytical Skills
Experience in data interpretation, technical documentation, presentation and community-focused recommendations.
Expected deliverables
Technical Report
A structured report documenting the internship work, analysis and findings.
Final Presentation
Presentation of the internship work and key findings.
Field Experience
Practical exposure to community engagement and field-level data collection.
Data Analysis Experience
Hands-on work with agricultural, environmental, geospatial and climate datasets.
Step into the field. Work with real data. Explore digital technologies. Understand community contexts. Apply computing to real-world challenges.
December 2026 · 4 Weeks · 20 Working Days
Programme Fee: ₹15,000 per student · Food and accommodation included