Report

Teaser, summary, work performed and final results

Periodic Reporting for period 1 - Ida (The AI-based intelligent assistant for dairy farmers)

Teaser

Milk is an important nutrient globally: 6bn+ people worldwide consume milk and milk products. In Europe milk provides11-14% of dietary fat supply. Today we already have 274m+ dairy cows, doubling their headcount to serve the global needfor milk is not sustainable.Health &...

Summary

Milk is an important nutrient globally: 6bn+ people worldwide consume milk and milk products. In Europe milk provides
11-14% of dietary fat supply. Today we already have 274m+ dairy cows, doubling their headcount to serve the global need
for milk is not sustainable.
Health & well-being of cows are the main factors responsible for the difference in cow’s milk production. However, to
improve the cattle health, the dairy farmer has to watch every single animal non-stop, 24x7, which means an unaffordable
increase of at least 30% in labor costs. To address this challenge we have developed Ida, the world’s first dairy farmer’s
assistant that uses artificial intelligence (AI) to learn the behavior of cows & generate useful operational insights for the
farmer.
on how to improve animals’ health & improve productivity.
Ida combines sensor technology, machine learning & cloud computing to translate raw data from the field into meaningful
information that can be used to support decisions made by farmers every day. Unlike existing cow movement trackers that
simply relay motion data to a central collection point, we have built Ida as a system that carries out intelligent pattern
analysis.
By observing & learning how the cows behave, and by bench marking the farm’s performance against the most efficient
farms globally, Ida provides clear recommendations to the farmer.

Work performed

The overall the progress of the IDA project is on track. Throughout 2018 it was apparent that evolving the platform to a higher maturity level, we needed time to test everything on scale in a practical realistic setting since not all technologies that we originally envisioned to be using were suitable for our specific use case. We further developed our technology, deployed our trial cases and added features. We developed our sales channels and added new customers from in 11 different countries around the world.

Final results

The next 12 months of our project we will focus on delivering our technical goals for the product and validating the ROI for the end-user and partners. In the first 12 months we\'ve already done a antibiotic study to show that with our product we can reduce the antibiotics necessary on farm by identifying health issues before the become visually apparent. For the next 12 months we expect to do more studies on product ROI and the impact on the environment and industry.

Website & more info

More info: http://www.ida.io.