Smart agriculture AI for Sri Lanka | Sri AI

Course overview

Soil and weather sensors, automatic irrigation, disease-spotting cameras and yield forecasts for paddy, tea, vegetables and coconut.

Level: Intermediate  ·  Mode: Part-time

Who this course is for

Agritech developers, agriculture officers and progressive farmers.

What you will learn

• Deploy soil and weather sensors in the field
• Automate irrigation from sensor data
• Detect crop disease from photos
• Forecast yield and give farmers useful advice

Syllabus

1. Module 1: Field sensors and power
2. Module 2: Irrigation control
3. Module 3: Crop disease detection
4. Module 4: Weather and yield forecasting
5. Module 5: Advice in Sinhala and Tamil
6. Module 6: Field trial

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

IoT foundations.