915187 Interdisciplinary project study

Type
Project course
Semester hours
4
Lecturer (assistant)
Organisation
Offered in
Sommersemester 2023
Languages of instruction
Englisch
Content

Miniprojects-Course (in English)

Our focus is on multi-objective counterfactual explanations with a human-in-the-loop,
to help to reach Forestry 5.0 – some concrete applications from the forestry industry as practical examples:

1) Forest roads: Prediction for trafficability, bearing capacity, optimization of planning
2) Cable yarding: Optimization, route planning, fuel consumption reduction
3) Bark beetles: prediction, identification, mapping and control
4) Windthrow: prediction, identification, mapping and control
5) Forest fire: prediction, identification, mapping and control

We always address these three united nations sustainability goals:

1) Occupational safety = SDG 3 Good Health and Wellbeing
2) Economy = SDG 12 Responsible Consumption and Production = Ensure sustainable consumption and production patterns
3) Ecology = SDG 15 Life on Land = Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Previous knowledge expected

Interest in digitalization, data, cyber-physical systems (sensors, actors (robotics)), interest to work in AI-applications for forest engineering, forest management and forest industry.
Objective (expected results of study and acquired competences)

Participants will work together with the Human-Centered-AI-Lab on Miniprojects. Max Group size = 3 students.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.