Farm Automation
A.Y. 2018/2019
Learning objectives
To provide the student with basic knowledge of sensor and automation technologies. To understand the operative impact of their applications in the farm.
Expected learning outcomes
To know the working principles of automation systems adopted on agricultural machinery and farms plants and to assess their main characteristics. To understand their role in the farm processes and in the practical implementation of Precision agriculture principles.
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
Today's agricultural machines and farm plants are more and more adopting automatic systems aimed to increase the complexity of the accomplished tasks, with dramatic increase of productivity, while operator fatigue is reduced and impact on environment is minimized. This course introduces to the technology on which automation is based -such as sensors, control systems, power hydraulics and electronics- and analyses the characteristics of the main applications in the farm and on agricultural machines. -Detailed Syllabus- The control system. Working principles of on/off, proportional, integral and derivative control. The PID control. Sensors on agricultural machines. Physical principles of sensing. Sensors for measuring: positioning and speed, proximity; force; flow; temperature; pressure; moisture content; crop conditions. Basic of digital electronics. Signal conversion. Microcontrollers. Data communication. ISO-BusActuators on agricultural machines. Power hydraulics. Electro-hydraulics valves. Electric actuators Automatic functionalities of agricultural machines and processes. Tractors. Harvesting machines. Sprayers and fertilizer spreaders. Working monitoring on farm machinery. Advanced sensors for the evaluation of plant status and produce quality. Precision agriculture and variable rate technologies (VRT)
Teaching methods
material will be distributed during classes and published at course webpage: http://robertiama.ariel.ctu.unimi.it
AGR/09 - AGRICULTURAL MACHINERY AND MECHANIZATION - University credits: 4
Practicals: 16 hours
Lessons: 24 hours
Lessons: 24 hours
Professor:
Oberti Roberto
Professor(s)
Reception:
make an appointment
via Celoria 2 - Building 10: Ingegneria Agraria