BIPROGY will sell “MoozyFit,” an app that allows users to estimate a cow’s body measurement and weight simply by taking a photo with an iPad Pro camera, both domestically and internationally.
This app is being developed in collaboration with Zenrakuren (National Federation of Dairy Cooperative Associations), Hiroshima University, and AMTS, a US company specializing in nutrition and feed design software for the livestock and dairy industries.
The app estimates nine parameters necessary for accurate understanding of growth stages: weight, withers height, hip height, body length, horizontal body length, chest circumference, chest depth, body depth, and hip width. It centrally manages the results, enabling efficient and objective growth management by reducing the labor required for measurement work and continuously accumulating data.
By measuring the cow’s body, users can determine the nutritional needs of each cow based on its weight and build, and provide appropriate feed, reducing unnecessary costs. Proper management of growth status based on data enables stable production. Previous weighing devices were expensive and required multiple people to measure. Furthermore, tasks such as disease prevention measures, moving and securing cows, and moving and setting up heavy measuring devices required a considerable amount of time, effort, and danger.

There were concerns that stressing cows by moving and restraining them could lead to a deterioration in meat quality and a drop in milk production, so many cows were managed solely by age in months and not adequately measured.

In the domestic market, the company will collaborate with Hiroshima University and All Japan Dairy Federation to conduct a trial implementation of the app at several farms.

In overseas markets, the company plans to sell the app to AMTS users.

By linking the app’s data with AMTS’s feed design software, it will be possible to calculate the appropriate feed allocation per cow from estimated body weight.

In collaboration with AMTS, which has users in over 25 countries worldwide, the company plans to aggregate cow data from overseas as well, further improving the accuracy of its predictions.

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