Precision Livestock Farming
A.Y. 2023/2024
Learning objectives
To gain knowledge of the applications in the field of animal husbandry of the main sensors and tools for precision farming aimed at improving productivity, animal health and welfare, and sustainability.
Use of the processing and interpretation of farm data to advance scientific and practical knowledge on the breeding of dairy and meat animals.
Use of the processing and interpretation of farm data to advance scientific and practical knowledge on the breeding of dairy and meat animals.
Expected learning outcomes
Be able to interpret and analyze farm data for the technical evaluation of livestock farms with different production orientations, as well as for managerial and operational activities in the field of animal husbandry and related professional activities. Acquire the ability to process data from sensors using various modeling tools and software, with the goal of improving efficiency and sustainability in modern livestock farming.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
The topics discussed will always start from an updated assessment of the systems that allow monitoring of the various aspects of breeding. In particular, the aspects of monitoring and management of production, reproduction and animal health in cattle, pork and poultry farming will be explored. The management aspects of the different breeding phases will be explored (young animals, animals in production and reproduction phase).
Prerequisites for admission
Animal science studies
Teaching methods
The course will take place for the most part in the classroom with lectures, group work and small barn data processing using excel.
By acquiring familiarity with processing and interpreting the data, the student will be able to interpret the livestock production reality independently and based on scientific data.
The course also includes trips to production facilities.
Attendance is strongly recommended
By acquiring familiarity with processing and interpreting the data, the student will be able to interpret the livestock production reality independently and based on scientific data.
The course also includes trips to production facilities.
Attendance is strongly recommended
Teaching Resources
Slides from lectures and papers.
All course materials will be available on the ariel website of the course for enrolled students (attending and non-attending).
https://myariel.unimi.it/course/view.php?id=404
All course materials will be available on the ariel website of the course for enrolled students (attending and non-attending).
https://myariel.unimi.it/course/view.php?id=404
Assessment methods and Criteria
Oral examination. You will be asked to tackle an application theme by framing the topic and giving numerical examples on the subject.
We will try to cover the different areas addressed (milk / meat production). We will evaluate the synthesis, exposure and processing capacity. The ability to apply the acquired knowledge will also be evaluated. The grade assigned will be 30th.
We will try to cover the different areas addressed (milk / meat production). We will evaluate the synthesis, exposure and processing capacity. The ability to apply the acquired knowledge will also be evaluated. The grade assigned will be 30th.
AGR/19 - ANIMAL SCIENCE - University credits: 6
Field activity: 16 hours
Lessons: 40 hours
Lessons: 40 hours
Professor:
Zucali Maddalena Enrica
Educational website(s)
Professor(s)