Automatic Feeding Systems for Cattle
A.Y. 2022/2023
Learning objectives
Providing students with the knowledge about the main automatic feeding systems for cattle
Expected learning outcomes
The knowledge acquired will allow the student to carry out technical-economic evaluations on the main automatic feeding systems for cattle
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
Lectures:
Automatic feeding systems for cattle: architecture and technical aspects.
New scenarios for cattle farming.
Precision feeding.
Technical visits to cattle farms adopting automatic feeding systems.
Automatic feeding systems for cattle: architecture and technical aspects.
New scenarios for cattle farming.
Precision feeding.
Technical visits to cattle farms adopting automatic feeding systems.
Prerequisites for admission
None
Teaching methods
Lectures and technical visits to cattle farms.
Teaching Resources
In electronic format (available on the Ariel website).
Scientific literature provided by the teacher.
Scientific literature provided by the teacher.
Assessment methods and Criteria
The exam is oral and aims to test students':
- comprehension of the main topics dealt with during the course;
- ability to organize knowledge discursively.
The exam marks will be expressed out of 30 and the final grade will take into account the accuracy and quality of the answers, as well as the communicative skills and the ability to adequately motivate statements and judgments during the interview.
- comprehension of the main topics dealt with during the course;
- ability to organize knowledge discursively.
The exam marks will be expressed out of 30 and the final grade will take into account the accuracy and quality of the answers, as well as the communicative skills and the ability to adequately motivate statements and judgments during the interview.
AGR/09 - AGRICULTURAL MACHINERY AND MECHANIZATION - University credits: 3
Practicals: 16 hours
Lessons: 16 hours
Lessons: 16 hours
Professor:
Tangorra Francesco Maria
Educational website(s)
Professor(s)
Reception:
phone or e-mail appointment