Ida Enterprise – connecting the dairy value chain

avaldaja Connecterra

Ida Enterprise

The global human population is growing, and we need to produce more food in the coming decades. Animal protein is an important part of the human diet. Producing high quality animal protein such as dairy products need be done in a sustainable and efficient way. To do this, both farmers and industry partners in the food chain require a solution to measure sustainability metrics, improve their supplier (farmer) productivity while at the same time increase production.

Insights on farm processes

With Ida Enterprise, stakeholders in the field of animal health, nutrition, genetics and dairy processing can now have real-time insights on what is happening on the farms they are working with. Farmers that have Ida in place on-farm can agree to share the data for enterprises to show up in the Ida Enterprise platform.   

Manage, monitor and predict

Using state of the art, deep-learning and machine learning models, Ida Enterprise combines real time sensor data and farm data to create insights for enterprises to manage, monitor and predict farm output and sustainability metrics, shown in an easy, custom made online platform. This gives the company an easy and updated view on the data coming from its farms.

Healthy, productive and sustainable farming

Ida Enterprise has demonstrated that with Ida, dairy farms can increase productivity with 20-30% and reduce antibiotic use with 50%. With Ida Enterprise, industry stakeholders have access to predictive metrics on sustainability, production, animal health, and efficiency. To have access to these important metrics enables the industry stakeholders to work with their farmers on animal health, sustainability and farm efficiency.

The benefit of Ida Enterprise

Microsoft’s azure platform provides the basis for Ida Enterprise ensuring hyper scale and advanced machine learning. This results in a range of high-level benefits for industry stakeholders:

1. Real time information on farms including cow behavior and disease prevalence
2. Processed insights such as animal welfare and sustainability metrics.
3. API's to connect with other systems such as ERP and supply chain systems for building farm to fork solutions.
4. Ability to build your own machine learning models based on data collected by the Ida Enterprise’s service.