Accuracy of a Novel Smartphone-Based Log Measurement App in the Prototyping Phase

Recently, the development of smartphone apps has resulted in a wide range of servicesbeing offered related to wood supply chain management, supporting decision-makingand narrowing the digital divide in this business. This study examined the performanceof Tree Scanner (TS)—a LiDAR-based smartphone app prototype integrating advancedalgorithms—in estimating and providing instant data on log volume through direct digitalmeasurement. Digital log measurements were conducted by two researchers, who eachperformed two repetitions; in addition to accuracy, measurement-time efficiency was alsoconsidered in this study. The results indicate strong agreement between the standard (man-ual) and digital measurement estimates, with an R2> 0.98 and a low RMSE (0.0668 m3), aswell as intra- and inter-user consistency. Moreover, the app showed significant potential forproductivity improvement (38%), with digital measurements taking a median time of 21 sper log compared to 29 s per log with manual measurements. Its ease of use and integrationof several key functionalities—such as Bluetooth transfer, remote server services, automaticspecies identification, the provision of instant volume estimates, compatibility with RFIDtags and wood anatomy checking devices, and the ability to document the geographiclocation of measurements—make the Tree Scanner app a useful tool for integration intowood traceability systems.