Michael Starke

Projektleitung, -Bearbeitung und - Umsetzung

Forstliche Verfahrenstechnik

Mensch-, Maschine-, Umwelt Interkation

Forstlicher Wegebau und Wegemonitoring

Industrie 4.0, Emedded Systems, CAN-Netzwerke; TLS Data; GIS

Forstliche Verfahrenstechnik, Hiebsbezogene Kosten bei Holzernteverfahren

Forstliche Produktion

Forstliche Verfahrenstechnik, Industrie 4.0, Monitoring und Entscheidungsfindung: Mensch- Maschine- Umwelt- Interaktion

Module zur digitalen Vernetzung - Industrie 4.0

DeepPuddle - Machine Vision Based Pothole Deteciton

Starke, Michael; Derron, Cédric; Heubaum, Felix; Ziesak, Martin (2020). Rut Depth Evaluation of a Triple-Bogie System for Forwarders — Field Trials with TLS Data Support Sustainability, 12(16), p. 6412. MDPI 10.3390/su12166412 <http://dx.doi.org/10.3390/su12166412>

Geiger Chris, Daniel Greff, Michael Starke, Marcus Geimer: Development and evaluation of a weighing system for forestry cranes based on artificial neural networks. Landtechnik 09/2019; 74(5):102-115., DOI:10.15150/lt.2019.3213

Dreher, Moritz Kaspar; Starke, Michael; Menk, Julia; Schaller, Christoph; Diefenbach, Lorenz; Dietsch, Patrick; Dorren, Luuk; Ziesak, Martin (2019). Consideration of near optimal forest road densities for Switzerland In: FORMEC 2019: 52 International Symposium on Forestry Mechanization. Sopron, Hungary. 06 - 10 October 2019.

Geiger, Chris; Greff, Daniel; Geimer, Marcus; Starke, Michael; Ziesak, Martin (2018). The potential of a weight detection system for forwarders using an artificial neural network In: FORMEC 2018 – Improved Forest Mechanisation: mobilizing natural resources and preventing wildfires (pp. 157-164). Madrid: Fundación Conde del Vallede Salazar

Michael Starke; Ziesak, Martin; Rommel, Daniela; Hug, Philipp: An automated detection system for (forest) road conditions. In : FORMEC 2016 – From Theory to Practice: Challenges for Forest Engineering, From Theory to Practice: Challenges for Forest Engineering, pp. 261–266.