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Accuracy of a Novel Smartphone-Based Log Measurement App in the Prototyping Phase
Mirella Elias1, Gabriel Osei Forkuo1, Gianni Picchi2
1Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Şirul Beethoven 1, 500123 Brasov, Romania.
Tree Scanner (TS) is a LiDAR-based smartphone app that accurately estimates log volume using digital measurements. This wood measurement tool improves productivity and integrates seamlessly into wood traceability systems.
Area of Science:
- Forestry Science
- Digital Technology in Wood Industry
Background:
- Smartphone apps are increasingly used in wood supply chain management.
- Digital tools can bridge the digital divide in the timber business.
Purpose of the Study:
- To evaluate the performance of the Tree Scanner (TS) smartphone app prototype.
- To assess its accuracy and efficiency in estimating log volume via digital measurement.
Main Methods:
- LiDAR-based smartphone app prototype (Tree Scanner) was used for digital log measurements.
- Two researchers performed repeated measurements, comparing digital to standard manual methods.
- Accuracy (R², RMSE) and measurement time efficiency were analyzed.
Main Results:
- Strong agreement between digital and manual log volume estimates (R² > 0.98, RMSE = 0.0668 m³).
- High intra- and inter-user consistency in measurements.
- Significant productivity improvement of 38% with digital measurements (21s vs 29s per log).
Conclusions:
- The Tree Scanner app provides accurate and efficient log volume estimation.
- Its features facilitate integration into wood traceability systems.
- The app offers a user-friendly tool for modernizing wood supply chain management.
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