LEARNING OUTCOMES
Forest machines are becoming semiautonomous, with modern machine perception and methods of probabilistic robotics and modern control, the efficiency, economy, quality and operability of forest harvesting can be improved. With the same machine perception the machine are also becoming producers of forest big data, also conservation of valuable nature forest areas and biodiversity can be quaranteed and documented.
Some lectures will given in the forest faculties of HY and UEF.
Credits: 5
Schedule: 26.02.2024 - 08.05.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Arto Visala, Pekka Forsman
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Nordic Cut-to-Lenght forest harvesting and Silviculture; kinematic models of harvester and forwarder; machine vision, LiDARs and SLAM in forest, creating map of trees (Forestrix-project); machine vision based quality measurements ( Metrix&MetrixPro); automated silviculture of young forests (NeoSilvix), Augmented reality HMIs (COMBAT); positioning in forest, use of drones in forestry, semiautonomous forwarder (Autologger), MPC in the automatic driving in forests.
Assessment Methods and Criteria
valid for whole curriculum period:
Exam and the reports of the two projects above.
Home exam, the two course projects.
Workload
valid for whole curriculum period:
Lectures cover the main content of the course. In addition, the mapping the forest is illustrated in a small LiDAR 3D-point-cloud -project and the automatic driving in forest is illustrated in a small Polaris eATV-project. Both projects are done in the teams of four students.
Contact teaching, independent studies and the two projects, examination
Compulsory attendance 3
DETAILS
Study Material
valid for whole curriculum period:
Slides in MyCourses pages, some extra material. A book about Smart Forestestry Machines will be written during years 2022-2024, which can be used later as the teaching material.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
7 Affordable and Clean Energy
9 Industry, Innovation and Infrastructure
12 Responsible Production and Consumption
13 Climate Action
15 Life on Land
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring IV - V
2023-2024 Spring IV - V