LAB 06

AI-Enabled Agri Tech Lab

Centre for Innovation in Digital & Sustainable Agriculture (CIDSA) — precision farming, drone ops, agri-stack and farmer training.

NDVIDronesGISIoTEdge AI

$38B+

Indian Farmer Market Size by 2030

30%

Yield Improvement Potential

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Your learning journey

Six steps from enrolment to certificate.

Next: Enrol

Focus areas

What you'll work on

  • Precision agriculture and site-specific farming
  • AI-driven agricultural decision-making
  • IoT-based smart farming systems
  • Real-time soil and field data collection
  • Weather-smart and climate-resilient agriculture
  • Drone-based crop monitoring and spraying
  • Geospatial and satellite-based farm analytics
  • Student, Researcher, Farmer and Agri-startup empowerment

Equipment & toolchain

Industry-grade infrastructure

  • Soil sensors
  • Weather stations
  • Crop monitoring drones
  • Satellite imagery inputs
  • Multispectral imaging systems
  • Thermal imaging systems
  • GIS platforms and mapping tools
  • GPS and remote sensing technologies

Learner outcomes

Skills & certifications you walk away with

  • Smart farming practice adoption
  • AI and IoT applications in agriculture
  • Drone operation for agricultural use
  • Aerial mapping and image processing
  • Precision irrigation and input planning
  • Geospatial farm analysis
  • Sustainable agronomy and resource management
  • Entrepreneurship and innovation readiness

Industry partners

Where this lab places talent

Farmers and farming communitiesAgri-entrepreneurs and startupsAcademic institutions and studentsResearchers and extension workersGovernment bodies and public programsIndustry partnersRural innovators and incubation ecosystemAgricultural value-chain stakeholders

Curriculum

4 modules.

Take qualification →

Auto-graded final MCQ · 70% to pass

Module 01

Precision Agriculture Foundations

Site-specific management with data.

9m · 3 lessons
Reading · 3 lessons

Module 02

Drone Operations & Aerial Imaging

From DGCA pilot license to a usable orthomosaic.

12m · 4 lessons
Reading · 4 lessons

Module 03

AI for Agriculture

Crop health, pest detection and yield forecasting.

9m · 3 lessons
Reading · 3 lessons

Module 04

Agri-Stack & Decision Support

From data to advisory the farmer can use.

9m · 3 lessons
Reading · 3 lessons

Final assessment

10 questions · pass mark 70% · unlocks certificate