Only RK

Price: 0

Number of applications: 4

Decision acceptance deadline

03.04.25 (inclusive)

Form of award

Interaction and recruitment for work under the contract

Product status

Finished product

Task type

ICT tasks

Сфера применения

Robotics

Область задачи

Neurotechnology and artificial Intelligence

Type of product

Software/ IS

Problem description

The lack of accurate methods for predicting cattle productivity makes it difficult to effectively select breeding animals, which leads to reduced economic benefits and wasteful use of resources.

Expected effect

Reducing the cost of inefficient feeding and maintenance: −10-20% of costs, Automating forecasting instead of manual analysis: −60-80% of the time.

Full name of responsible person

Digital Government Support Center

Purpose and description of task (project)

Forecasting cattle productivity by analyzing data and determining the breed standard with an assessment of ancestral productivity.

Note