Information and Electronic Technologies for Animal Production
A.Y. 2022/2023
Learning objectives
Providing students with knowledge of the main sensor systems and technological solutions of "Precision livestock farming" that can potentially be implemented in a livestock farm. Providing methods and competences for analyzing and interpreting data generated by sensor systems to optimize herd management in a precision livestock farming perspective
Expected learning outcomes
Ability to identify the most appropriate precision livestock farming technology solutions according to the specific needs of livestock farms. Ability to apply the methods of processing and analyzing data generated by sensor systems implemented in a livestock farm.
Lesson period: First 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
First semester
Course syllabus
Lectures:
Digital technologies and automation in livestock production.
Precision livestock farming and areas concerned (animal welfare and health, management of reproduction, nutrition, milking).
Most commonly used non-invasive sensors for monitoring livestock animals (thermometers, accelerometers, radio-frequency identification (RFID) tags, microphones, cameras).
Commercially available precision livestock technologies for cattle, pig and poultry.
Analysis of some herd management software for dairy cows.
Practical exercise:
Data analysis using electronic spreadsheet, statistical software, herd management software.
Digital technologies and automation in livestock production.
Precision livestock farming and areas concerned (animal welfare and health, management of reproduction, nutrition, milking).
Most commonly used non-invasive sensors for monitoring livestock animals (thermometers, accelerometers, radio-frequency identification (RFID) tags, microphones, cameras).
Commercially available precision livestock technologies for cattle, pig and poultry.
Analysis of some herd management software for dairy cows.
Practical exercise:
Data analysis using electronic spreadsheet, statistical software, herd management software.
Prerequisites for admission
None
Teaching methods
Lectures and practical exercises with electronic spreadsheet, statistical software and herd management software.
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: 8
Practicals: 48 hours
Lessons: 40 hours
Lessons: 40 hours
Professor:
Tangorra Francesco Maria
Professor(s)
Reception:
phone or e-mail appointment