Data Platform for Animal Farming: 6-Week PoC

WaveAccess

An integrated Internet of Things and Machine Learning based data processing solution for animal farming: 6-week proof of concept

WaveAccess invites you to try our analytical tool that facilitates digital transformation for animal farms, gathering and visualizing data collected from devices and providing insights on farming efficiency.

The solution has been already used in pig and chicken production, and can be adapted to other types of animals. It works by collecting warehouse environment data from sensors as well as using surveillance image recognition and electronic animal tagging to detect animal weight and food consumption.

Value of digital farm data platform

  1. Slaughter weight prediction, maximizing feed-to-growth ratio
  2. Facilitating productivity growth, reducing costs
  3. Data visualization
  4. Benchmarking by warehouse performance comparison
  5. Improving sustainability

If you would like the leverage data that your animal farming business has accumulated, we can make an Azure-based proof of concept on the existing data.

Service Provided:

During our 6-week PoC, we will build an Azure Cloud-based prototype to prove whether a specific business challenge of your animal farming business can be solved using the accumulated data. We expect you to define one challenge and provide data. For example, you might want to optimize your warehouse environment to maximize weight gain - let's check how Azure can help your data be instrumental with that!

Deliverables:

You will see how Microsoft Azure can be used for data storage and processing, whether your data is relevant for solving the problem, and get relevant business insights. If PoC proves efficient, we can proceed with a full-scale Azure-based project.

https://store-images.s-microsoft.com/image/apps.52904.0b00861d-6c40-40d8-a401-c8da0ddc155d.c7735ed4-cc3a-4ff1-b80e-d30d66e8564f.74137ac1-c3d6-4a49-b5b7-ee01dff13aa8
https://store-images.s-microsoft.com/image/apps.52904.0b00861d-6c40-40d8-a401-c8da0ddc155d.c7735ed4-cc3a-4ff1-b80e-d30d66e8564f.74137ac1-c3d6-4a49-b5b7-ee01dff13aa8