Monitor
Read crops from space.
Use Sentinel and Landsat imagery, NDVI and basic GIS to read crop health, and IoT sensors to track the soil.
Campus AI · For BSc Agriculture students
AI for Agriculture & AgriTech. AI and data skills for Indian agriculture.
Rooman's AI for Agriculture & AgriTech is a 35-hour, 7-week online course for BSc Agriculture, Horticulture, Forestry and Environmental Science students. You learn satellite imagery, precision farming, market intelligence, agri supply chains, weather data, ONDC and government agritech programmes, then design an AI-augmented solution in a capstone and earn the Rooman Campus AI Certificate.
35 hours9 modulesWeekly live cohortCapstone project
What you'll be able to do
Bring AI and data to agriculture.
Indian agriculture is going digital through satellite imagery, IoT, precision farming, supply chain digitisation and government initiatives. This course gives agriculture and environmental science students the AI and data skills for work with agritech startups, farmer producer organisations (FPOs) and government programmes.
Predict
Plan with prices and weather.
Work with mandi prices, demand forecasts and weather data APIs to assess risk and plan sales.
Connect
Understand markets and policy.
Learn the agri supply chain, FPO operations, ONDC channels and the main government programmes.
Skills covered
- Agritech landscape India
- Satellite imagery for agriculture
- Precision farming basics
- Market intelligence and price prediction
- Supply chain in agriculture
- Climate and weather AI
- ONDC for agri commerce
- Government agritech programmes
Who it's for
Built for agriculture and allied science students.
The course is for BSc Agriculture, Horticulture, Forestry and Environmental Science students who want a career in agritech, and for aspiring agritech founders. Recent graduates are welcome too. An agriculture background helps, but it is not required.
Who takes this course
- BSc Agriculture
- Horticulture & Forestry
- Environmental Science
- Aspiring agritech founders
Entry requirements.
- A current science-stream student, or a recent graduate
- An agriculture background (helpful, not required)
- Completion of AI for ALL
New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.
35 hours · 9 modules
A curriculum built from the field to the market.
The modules follow a crop from field monitoring to markets, supply chains and policy, and end with a solution proposal for a real agri problem.
01Agritech landscape India4 hrs
A map of India's agritech sector: its main segments, who funds what and the career paths it offers.
Topics covered
- The main segments of Indian agritech
- Who funds what in agritech, and why it matters for your career
- Career paths in startups, FPOs and government programmes
You produce: a map of agritech segments and career paths.
02Satellite imagery for agriculture5 hrs
Read crop health with Sentinel and Landsat imagery, NDVI and basic GIS workflows.
Topics covered
- Sentinel and Landsat imagery for agriculture
- NDVI: measuring crop health from imagery
- Basic GIS workflows for farm and field maps
You produce: an NDVI crop-health map for an area you choose.
03Precision farming basics5 hrs
How soil sensors, IoT platforms and variable rate application help farmers use inputs precisely.
Topics covered
- Soil sensors: what they measure
- IoT sensor platforms: collecting and reading farm data
- Variable rate application of water, seed and fertiliser
You produce: a sensor plan for a sample farm.
04Market intelligence and price prediction5 hrs
Use mandi price data and demand forecasts to decide when and where to sell.
Topics covered
- Reading mandi price data
- Simple demand and price forecasting with AI tools and Python
- Market access: getting produce to the right buyer
You produce: a mandi price trend and forecast for one crop.
05Supply chain in agriculture4 hrs
Follow produce from farm to buyer: logistics, cold chain, post-harvest losses and FPO operations.
Topics covered
- Agricultural logistics and the cold chain
- Where post-harvest losses happen, and how data helps reduce them
- How farmer producer organisations (FPOs) operate
You produce: a supply chain map for one crop, with loss points marked.
06Climate and weather AI4 hrs
Use weather data APIs and AI to assess climate risk and plan adaptation.
Topics covered
- Pulling forecasts from weather data APIs
- Assessing weather and climate risk for crops
- Climate adaptation options for farmers
You produce: a weather risk summary for a region.
07ONDC for agri commerce3 hrs
How ONDC and other digital channels connect farmers directly to consumers and businesses.
Topics covered
- What ONDC is and how it works for agriculture
- Direct-to-consumer agri channels
- Farmer-to-business platforms
You produce: a digital sales channel plan for an FPO.
08Government agritech programmes3 hrs
The main government programmes for agriculture, PM-KISAN, eNAM, RKVY and NMSA, and the openings they create.
Topics covered
- PM-KISAN and eNAM: what each programme does
- RKVY and NMSA: what each programme supports
- Where policy creates openings for agritech work
You produce: a brief on one programme and the opportunities it creates.
09Capstone2 hrs
Pick a real agri-domain problem and design an AI-augmented solution proposal.
Topics covered
- Choosing a problem: yield prediction, crop monitoring or market intelligence
- Designing the AI-augmented solution
- Writing and presenting the proposal
You produce: your capstone solution proposal.
Tools covered
The tools you'll work with.
Every tool is used hands-on in cohort labs. Python is taught at an introductory level, so no coding background is assumed.
| Tool group | Tools | What you use them for |
|---|---|---|
| AI assistants | ChatGPT, Claude | Research, analyse and write up your proposals |
| Earth observation | Satellite imagery tools | Map crop health with NDVI and basic GIS |
| Climate data | Weather data APIs | Pull forecasts and assess weather risk |
| Farm data | IoT sensor platforms | Collect and read soil and field data |
| Commerce | ONDC for agri | Reach consumers and businesses directly |
| Programming | Python (intro) | Work with price, weather and sensor data |
Capstone
A real farm problem. Your AI solution.
Pick a real agri-domain problem, such as yield prediction, crop monitoring or market intelligence, and design an AI-augmented solution proposal.
Along the way you complete hands-on lab exercises in every module.
Your capstone portfolio.
- An NDVI crop-health map
- A mandi price trend and forecast
- A crop supply chain map
- A weather risk summary
- Your capstone: an AI-augmented solution proposal
Your credential
Rooman Campus AI Certificate.
A skill certificate with a completion record. It is not a degree. It records the course you completed and the capstone you built.
Your capstone portfolio shows what you can do with AI, which is what employers, clients and interviewers ask to see.
What's included
Everything you need to finish.
- Certified industry-expert trainers
- Weekly live cohort sessions online
- AI-powered LMS with 1-year access
- Hands-on lab exercises and a capstone project
- Résumé, LinkedIn and portfolio workshop
- Help with internship matching
Before you enrol
Questions agriculture students ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
The course is for BSc Agriculture, Horticulture, Forestry and Environmental Science students who want a career in agritech, and for aspiring agritech founders. Recent graduates are welcome too. An agriculture background helps, but it is not required.
Which AI course should a BSc Agriculture student take?
Start with AI for ALL, then take AI for Agriculture & AgriTech. It covers satellite imagery, precision farming, mandi price analysis, agri supply chains, weather data, ONDC and government agritech programmes.
Is this for college students only?
Mostly, yes. Recent graduates and career-switchers are welcome too.
What do I need before I start?
You need to have completed AI for ALL. An agriculture background is helpful but not required, and you do not need the Sciences Foundation.
Do I need to know coding?
No. Python is covered at an introductory level, and the only course you need first is AI for ALL.
Does it cover government schemes?
Yes. One module covers PM-KISAN, eNAM, RKVY and NMSA, and where these programmes create opportunities for agritech work.
How much time does it take?
35 hours over 7 weeks, combining self-paced lessons with one live cohort session each week.
Is it online or classroom?
It is taught online, with self-paced lessons and a weekly live cohort session, so it fits around college or work. Ask a counsellor about classroom batches.
Will I get hands-on with real tools?
Yes. Every tool listed on this page is used hands-on in cohort labs.
What is the capstone?
Pick a real agri-domain problem, such as yield prediction, crop monitoring or market intelligence, and design an AI-augmented solution proposal.
What can I do after this course?
You can go further with AI for Environmental Science & ESG or Data Analytics & AI Foundations. If you want to start an agritech venture, Startup & Freelancing with AI is another option.
Is this course AICTE or UGC approved?
It is a skill course from Rooman, not a UGC-approved degree. You receive the Rooman Campus AI Certificate and a completion record.
Will my college recognise this?
Rooman's partner colleges may count it as a skill credit. Check with your college's placement officer.
Does the course include placement support?
Yes: a résumé and LinkedIn workshop, and help with internship matching. It is not one of Rooman's job-guaranteed programmes.
Which certificate will I receive?
The Rooman Campus AI Certificate, with a record of the course you completed.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
Can my college run this course for a whole batch?
Yes. Colleges can bring Campus AI courses to their students through Rooman's university partnerships. Placement or training officers can call 080 6945 1000.
Related courses.
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60 hrs10 modulesData Analytics & AI FoundationsSQL, Python, Power BI and machine learning for data analyst roles.
30 hrs8 modulesStartup & Freelancing with AIEarn through freelancing or a startup, alongside or instead of placement.For collegesBring Campus AI to your college?Placement and training officers can run this course for a whole batch through Rooman's university partnerships.Talk to usNext step
Start with a conversation.
Tell us your course and year, and a counsellor will call you with batch dates, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.