Smart agricultural systems
Description: The discipline studies modern technologies and methods used to automate and optimize processes in agriculture. Considers the study of control systems, sensors, big data and artificial intelligence aimed at increasing production efficiency, improving product quality and sustainable use of resources in the agricultural sector.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Profiling disciplines
