Home

Please scan the QR code from your WeChat application:

Updates
These companies currently have access to the the Edge AI for smart agriculture Catalyst. Would you like the following company to keep you updated about their products and services by electronic means?
CloudBlue
Epam Systems, Inc.
ETIYA
Red Hat, Inc.
TELUS
Verizon Communications
View all current Catalysts
Description:

Please confirm that you would like to stop following this catalyst project.

 

Confirm Cancel

Log in

 

Not a user?

Register

Start a discussion
Get
involved
0 Review(s)
0
Average based on 0 review(s)
5
0
4
0
3
0
2
0
1
0
URN
C22.0.297
Themes
AI , Data & Insights , Autonomous Operations , Beyond Connectivity

What is the main problem you have identified:

Smart Agriculture is highly dependent on IoT integrations and autonomous robots. In addition, advanced data analytics and AI/ML capabilities are needed to provide near real-time insight into the field data. The dependency on various technology stacks with diverse QoS requirements poses a challenge on the services providers.

This catalyst tries to address a few of these challenges with the implementation of smart agriculture use cases and to provide a blueprint for scalability, and optimization.

How will this project team solve the challenge or problem:

We expect that smart agriculture pain points can be solved using the following technologies (but not limited to):
• Network Slicing
• MEC Orchestration
• Edge AI/ML application framework

How will the success of the solution be measured:

The following use cases will need to be demonstrated:
a. An integrated solution to meet the demand of smart agriculture leveraging on the 5G technologies like network slicing, MEC, AI to meet the latency and data throughput requirements.
b. A fully functional MEC framework addressing challenges like Heterogeneity in the deployment environment, life cycle management, future proof design, vertical industry requirements, and zero-touch network.
c. A strategy for seamless deployment of AI/ML application and POC for Smart Agriculture IoT and robotics integration.

The following outcomes are expected from this catalyst:
a. Integrated solution architecture for smart agriculture
b. A MEC framework for orchestration and automation
c. A strategy paper for seamless deployment of AI/ML application at the edge
d. A POC for Smart Agriculture IoT and robotics integration.