20.500.12556/RUL-127875 Ocena uporabne vrednosti za lastnika gozda in preizkus izbranih mobilnih aplikacij za spremljavo gospodarjenja z gozdovi Testing selected mobile applications for monitoring forest management and assessment of their usability for forest owners Preverjali smo uporabno vrednost več aplikacij za lastnike gozdov. Preizkusili smo dve aplikaciji za izmero sestojnih parametrov (MOTI in Comparaison.sylvotheque.ch (CSC)), ki delujeta s pomočjo kamere. Na podlagi meritev na 30 stojiščih smo ugotovili, da ni razlik v oceni sestojne temeljnice in drevesne sestave. MOTI je enostavnejši, hitrejši in cenejši način za izvedbo gozdne inventure, CSC, ki za delovanje uporablja 360° fotografijo, pa ponuja bolj podrobno analizo sestoja. Sestojne parametre, pridobljene z MOTI, smo uporabili v rastnem simulatorju SiWaWa, ki je uporaben pripomoček pri načrtovanju gospodarjenja z gozdom. Preizkusili smo tudi aplikacijo Timbeter, ki s prepoznavanjem čel hlodovine izmeri volumen hlodovine. Na podlagi primerjave s klasičnim merjenjem ugotavljamo, da je Timbeter za posameznega lastnika pri prodaji manjših količin nezanesljiv. We tested the usefulness of several mobile applications for private forest owners. We tested MOTI and Comparaison.sylvotheque.ch (CSC) which both use camera. Based on measurements at 30 standing points, we found that there were no statistically significant differences in stand basal area estimates and species composition. MOTI is simpler, faster, and cheaper that CSC for forest inventory. However, CSC, which uses 360° photography, offers a more detailed analysis of the stand. The stand parameters obtained with MOTI were used in the SiWaWa growth simulator, which turned to be a useful tool in forest management planning. We also tested the Timbeter application, which measures log stack volumes by recognizing log faces. Based on a comparison with classical measurement, we conclude that Timbeter is inaccurate for an individual owner when selling small quantities of wood. gozdna inventura mobilna aplikacija Bitterlichova metoda meritve volumna hlodovine MOTI SiWaWa Timbeter strojno učenje Comparaison.sylvotheque.ch vsesmerna fotografija računalniški vid forest inventory mobile application Bitterlich method log volume measurement MOTI SiWaWa Timbeter machine learning Comparaison.sylvotheque.ch omnidirectional photography computer vision true false false [Ž. Sitar] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2021-06-26 07:15:54 2021-06-26 07:16:02 2022-09-06 03:53:34 0000-00-00 00:00:00 2021 0 Ljubljana 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 630*52+630*58-15(043.2)=163.6 191323 70917123 14036.pdf 14036.pdf 1 330182D252ABA6C9EAED17B5E309B4F9 eeca7ba4deac3cfba8ea5751eeea5ffbaf282a172d80d2f0c644ee32c3c5e78a 7ba97620-d63d-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=144438 Biotehniška fakulteta 0 0 0