Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

Abstract Background Deep Learning Algorithms (DLA) have become prominent as an application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the DLA to predict the relationships between individual tree height (ITH) and the diameter at breast height (DBH). Methods A set of...

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Bibliographic Details
Main Author: İlker Ercanlı
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-04-01
Series:Forest Ecosystems
Subjects:
Artificial intelligence
Prediction
Deep learning algorithms
Individual tree height
Online Access:http://link.springer.com/article/10.1186/s40663-020-00226-3

Internet

http://link.springer.com/article/10.1186/s40663-020-00226-3

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