Information and Electronic Technologies for Animal Production
A.Y. 2020/2021
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
In case of emergency, classes will be live-streamed on Microsoft Teams, following the lessons timetable.
The course program and teaching materials will be unchanged.
Assessments methods and criteria will be unchanged: the exam will be taken either in class or through Microsoft Teams, depending on the rules in force at that time.
The course program and teaching materials will be unchanged.
Assessments methods and criteria will be unchanged: the exam will be taken either in class or through Microsoft Teams, depending on the rules in force at that time.
Course syllabus
Lectures:
Digital technologies in livestock production.
Precision livestock farming and areas concerned (animal welfare and health, management of reproduction, nutrition, milking).
Application of precision livestock farming systems in cattle, pig and poultry sectors.
New technologies in animal feeding (infrared thermography, NIRS applications, precision feeding and automation).
Analysis of some herd management software for dairy cows.
Practical exercise:
Data processing using an electronic spreadsheet.
Use of some herd management software for dairy cows and analysis of practical cases.
Digital technologies in livestock production.
Precision livestock farming and areas concerned (animal welfare and health, management of reproduction, nutrition, milking).
Application of precision livestock farming systems in cattle, pig and poultry sectors.
New technologies in animal feeding (infrared thermography, NIRS applications, precision feeding and automation).
Analysis of some herd management software for dairy cows.
Practical exercise:
Data processing using an electronic spreadsheet.
Use of some herd management software for dairy cows and analysis of practical cases.
Prerequisites for admission
None
Teaching methods
Lectures and practical exercises with an electronic spreadsheet and herd management software
Teaching Resources
- Slides shown during teaching classes (available on 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