Explore how embedded machine learning can revolutionize agriculture and conservation in Africa through this insightful talk. Discover the potential of sensors to understand the world autonomously, from detecting cow health to monitoring tomato growth and elephant proximity. Delve into Jan Jongboom's experiences in East Africa, examining problems encountered and innovative ML solutions. Learn about the importance of power consumption in these applications and gain insights into running after cows on a Tanzanian dairy farm. Examine topics such as Data Science Africa, custom boards, local solutions, poacher detection, animal tracking, and the challenges of implementing tinyML in African contexts. Gain valuable knowledge on data quality, open camera traps, and future possibilities in this field.
Chasing Cows - Making Africa Smarter With Embedded ML
Overview
Syllabus
Introduction
Data Science Africa
Custom board
Local solutions
Q42 Poacher Detection
Cow Fitbit
Elephant tracking
Animal tracking
Why use tinyML
Challenges
Data quality
Data logger
Open camera trap
Challenges in Africa
Conclusion
Get involved
Questions
The future
Taught by
tinyML
