Smart Farming

Course content

After successful completion of the course, students will be able to:

  • name the goals, potentials and challenges of smart farming.
  • name the essential sensor technologies and compare and evaluate them in the context of agriculture.
  • name and categorise different types of digital agricultural systems by way of example, reflect the structure of different devices, describe and assess their use and benefits
  • describe the challenges of the interaction between complex organisms and technologies.
  • communicate professionally with specialists from the agricultural sector

Content:

  • General principles of agriculture in relation to digitalisation
  • Sensor use in crop production and animal husbandry
  • Challenges of agricultural systems for sensors and robots
  • Development of monitoring systems
  • Technology assessment
  • Data streams in agriculture

Course information

Code 2517064 + 2517065
Degree programme(s) Biochemical Engineering, Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Industrial and Mechanical Engineering
Lecturer(s) Prof. Dr. Ludger Frerichs
Type of course Lecture + exercise course
Semester Winter semester
Language of instruction English
Level of study Master
ECTS credits 5
Contact person Dr.-Ing. Jan Schattenberg