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The Rise of Computer Vision in Agtech

Learn how computer vision & machine learning is transforming the agricultural sector with AWS.
Monday - In person event in Wellington
Wednesday - Virtual event via Zoom

Register

Monday 24 May
3:00pm - 4:00pm

Wednesday 26 May
1:00pm - 2:00pm

VIRTUAL

LOCATION:
AWS Wellington (Level 21, NTT Tower), Wellington on Monday, Virtual on Wednesday,
157 Lambton Quay, Wellington Central, Wellington, New Zealand
Free event
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Screen Shot 2021 04 21 at 9.46.06 am

What's it all about?

Join us as we share stories from the field and learn how computer vision and machine learning is transforming the agricultural sector. 

In this session: Learn how to leverage technologies to monitor livestock, crops, and pests, improve worker safety conditions and accelerate R&D for a profitable and sustainable future.

We will include an architectural overview of AWS’ edge service ecosystem and a live demo using Amazon Sagemaker and Jetson Nano for Machine Vision at the edge for an agritech use case.

By the end of the presentation attendees should have what they need to setup a Jetson device for edge Machine Vision using a custom trained machine learning model, and understand how that model is situated within the larger AWS Edge architecture.

View the event website for more information.

Speakers

Daniel O'Brien

Venture Capital Business Development

Dan O’Brien is a Venture Capital Business Development Manager at AWS. Dan's mission is to help Australian and New Zealand Agtech startups shine on the world stage by supporting them as they gain traction, and scale up - with AWS at their wing.

Steffen Merten

Principal Solution Architect - Startups

Steffen Merten is a Principal Solutions Architect for AWS. He spent last year supporting Xero’s cloud modernization and has recently moved back to his startup roots. Steffen’s background is in complex systems analysis.

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