Price: 0
Number of applications: 4
03.04.25 (inclusive)
Interaction and recruitment for work under the contract
Finished product
ICT tasks
Robotics
Neurotechnology and artificial Intelligence
Software/ IS
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.
Reducing the cost of inefficient feeding and maintenance: −10-20% of costs, Automating forecasting instead of manual analysis: −60-80% of the time.
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.