CV for Agriculture
This track teaches you how to build computer vision systems for agriculture — from drone-based crop analysis to automated disease detection. You will work with real multispectral imagery and deploy models to edge devices.
12Lessons
~5hContent
4Chapters
∞Access
What You'll Learn
Multispectral Imaging
Crop Segmentation
Disease Classification
Drone Integration
Edge Deployment
Curriculum
Chapter 1
Foundations of Agricultural CV
3 lessons- 1.1Introduction to Precision Agriculture15 min
- 1.2Understanding Multispectral Imagery20 min
- 1.3Vegetation Indices (NDVI, EVI, SAVI)25 min
Chapter 2
Crop Disease Detection
3 lessons- 2.1Building a Disease Dataset20 min
- 2.2Training a Disease Classifier30 min
- 2.3From Classification to Segmentation25 min
Chapter 3
Yield Estimation & Counting
2 lessons- 3.1Object Detection for Fruit Counting25 min
- 3.2Yield Prediction Models20 min
Chapter 4
Production Deployment
4 lessons- 4.1Building the Data Pipeline20 min
- 4.2Edge Deployment on Jetson30 min
- 4.3Building the Dashboard25 min
- 4.4Monitoring & Iteration15 min
What's Included
🤖
AI Learning Companion
Ask questions and get instant explanations powered by Google Gemini.
📜
Completion Certificate
Shareable, verifiable certificate to showcase on LinkedIn.
💻
Practical Exercises
Build real projects with industry datasets and production-ready code.
♾️
Lifetime Access
Access your course forever. All future updates included.
Get CV for Agriculture
Lifetime access to all 12 lessons, AI companion, and completion certificate.