Thesis track: Farm Technology - MSc Biosystems Engineering

The farm technology track focuses on innovation and technology that can be introduced to improve or revamp an agricultural system.

The chair group has researches being performed in the field of livestock farming and precision farming using drones and other high tech equipment. Applications on automation and robotics are extensively researched in the group along with a focus on the social aspects like labour, animal welfare, health and environment. There are also possibilities to perform research with design and modelling of agricultural systems like greenhouses. The research also broadens to other innovative systems like insects and algae cultivation systems.

More information about the chair group can be found here.


Following are some relevant courses associated with the Farm Technology group.

Course Handbook: Machine Learning

Machine Learning

Machine learning plays an increasingly important role in biosystems engineering. This course deals with algorithms that predict certain outputs (such as crop yields or traits) given previously unseen input data from cameras, other sensors and maps.

Greenhouse technology

The course aims in delivering the students ample knowledge about the physics of a greenhouse and the interaction between crop processes and greenhouse climate processes.

Livestock technology

The interaction between technology and livestock is the main focus of the course.

Biosystems design

In the course students will apply a structural engineering design method to a biosystems engineering related design problem, with a focus on system innovation.

Automation for bio-production

Driving forces for automation in agriculture are discussed in this course. Students work on various automation tasks, like employing control and motion planning on a stable or mobile platform.

Back to MSc Biosystems Engineering