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Research ArticleArticles

Using Artificial Intelligence to Assist Tree Risk Assessment

Steffen Rust and Bernhard Stoinski
Arboriculture & Urban Forestry (AUF) March 2022, 48 (2) 138-146; DOI: https://doi.org/10.48044/jauf.2022.011
Steffen Rust
Steffen Rust (corresponding author), HAWK University of Applied Sciences and Arts, Faculty of Resource Management, Göttingen, Germany, +49(0)-551-5032173,
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  • For correspondence: [email protected]
Bernhard Stoinski
Bernhard Stoinski, Private Institute for Dynamic Logic, Herforder Straße 15, Köln, Germany
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Article Information

vol. 48 no. 2 138-146
DOI 
https://doi.org/10.48044/jauf.2022.011

Published By 
Arboriculture & Urban Forestry (AUF)
Online ISSN 
2155-0778
History 
  • Published online March 1, 2022.

Copyright & Usage 
© 2022, International Society of Arboriculture. All rights reserved.

Author Information

  1. Steffen Rust and
  2. Bernhard Stoinski
  1. Steffen Rust (corresponding author), HAWK University of Applied Sciences and Arts, Faculty of Resource Management, Göttingen, Germany, +49(0)-551-5032173, steffen.rust{at}hawk.de
  2. Bernhard Stoinski, Private Institute for Dynamic Logic, Herforder Straße 15, Köln, Germany
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Arboriculture & Urban Forestry (AUF): 48 (2)
Arboriculture & Urban Forestry (AUF)
Vol. 48, Issue 2
March 2022
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Using Artificial Intelligence to Assist Tree Risk Assessment
Steffen Rust, Bernhard Stoinski
Arboriculture & Urban Forestry (AUF) Mar 2022, 48 (2) 138-146; DOI: 10.48044/jauf.2022.011

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Using Artificial Intelligence to Assist Tree Risk Assessment
Steffen Rust, Bernhard Stoinski
Arboriculture & Urban Forestry (AUF) Mar 2022, 48 (2) 138-146; DOI: 10.48044/jauf.2022.011
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  • Article
    • Abstract
    • INTRODUCTION
    • THE GENERAL DYNAMIC LOGIC
    • MODELLING TREE ASSESSMENT IN THE GENERAL DYNAMIC LOGIC
    • LEARNING FROM PLAUSIBILITY/METASYSTEM
    • CONCLUSIONS
    • Footnotes
    • LITERATURE CITED
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Keywords

  • Artificial Intelligence
  • Fuzzy Logic
  • Tree inventory
  • tree risk assessment

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