The document discusses the challenges facing agriculture, including population growth, labor shortages, and the need for efficiency through advanced technology. It highlights the shift from traditional agriculture practices to automated and precise approaches using AI, computer vision, and robotics, exemplified by John Deere's technologies like the 'see & spray' system. Looking ahead, John Deere aims to achieve fully autonomous farming for corn and soybeans in the U.S. by 2030.

1. Better Farming through
Embedded AI
Chris Padwick
Director of Computer Vision Machine
Learning
Blue River Technology

2. • Growing population
• Extreme variability
• Labor shortage & aging workforce
The Challenges of Agriculture
2

3. Traditional Agriculture vs. the Next Frontier
3
Traditional: Bigger. Faster. Stronger. Next: Automated. Easy to Use. More Precise.

4. More than 600,000 John Deere connected machines traverse a third of the Earth’s land
surface
Impact at Scale
4

5. High Level Overview of Spraying
5

6. See & Spray
6
Computer Vision | Machine
Learning | Edge Computing
| Rugged cameras | Robotics
TECHNOLOGY

7. A Challenge See & Spray Solves
7

8. Real-Time Image Quality Predictions
Dust, Fog, Condensation Low Light Glass, Defocus, Motion Blur
No Augmentation Fog Augmentation
Crop
Weed
Key
8

9. Advantages of on-prem processing
Harvest Compute Cluster
9

10. Training Pipeline
Tools for Training and Deployment
10
Release and Deployment
dl-core

11. Looking Ahead
11

12. Deere’s Fully Autonomous Tractor
12

13. What Tech Does and Unlocks for Customers
13

14. What happens
when we
encounter an
OBSTACLE
What Happens When We Encounter an Obstacle?
14

15. Deere’s goal is to have a fully autonomous farming system for corn and
soybeans in the U.S. by 2030
Looking Ahead
15

16. The Intersection of Technology AND Purpose
16

17. Thank You
17