Primerjava metod za rekonstrukcijo krošenj trt iz oblakov točk laserskega merilnika razdalj

diplomsko delo Visokošolskega strokovnega študijskega programa I. stopnje Strojništvo

David Rogelj (Author), Marko Hočevar (Mentor)

Abstract

Bolezni vinske trte, kot sta peronospora in oidij, preprečujemo s pršenjem fungicidov na liste trte. Da bi znali čim bolje, čim bolj učinkovito in bolj varčno nanašati fungicide na liste vinske trte, moramo poznati obliko in volumen krošnje vinske trte ter število listov. To lahko naredimo na več načinov in sicer z uporabo LIDAR merilne opreme ali z zajemom slik iz različnih pozicij s pomočjo brezpilotnega letalnika - fotogrametrijo ter s fizičnim štetjem listov na določenem odseku. Vsak od njih, na drugačen način, pristopa do rekonstrukcije krošenj. Rezultate različnih načinov smo primerjali med seboj in ugotovili, da je metoda ročnega štetja primerna za manjše merjene odseke trte. V kolikor gre za večje merjene odseke, sta bolj primerni za zajem podatkov o obliki krošnje, listni masi ter volumnu krošnje, metodi fotogrametrija in LIDAR.

Keywords

lidar;vinska trta;rekonstrukcija;brezpilotni letalniki;fotogrametrija;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FS - Faculty of Mechanical Engineering
Publisher:	[D. Rogelj]
UDC:	528:629.7.014:634.8(043.2)
COBISS:	101327875
Views:	163
Downloads:	54
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Comparison of methods for the vine canopies reconstruction from point clouds of laser distance meter
Secondary abstract:	Vine diseases such as peronospora (downy mildew) and oidium (powdery mildew) are prevented by spraying fungicides on the vine leaves. In order to be able to apply fungicides to the vine leaves in the most efficient and economical way, we need to know the shape and volume of the vine canopy and the number of leaves. This can be done in several ways, using LIDAR measuring equipment, or by capturing images from different positions using a drone - photogrammetry, and by physically counting the number of leaves in a given section. All methods approach canopy reconstruction in a different way. We compared the results of different methods with each other and found that the method of manual counting is suitable for smaller measured sections of the vine canopy. In the case of larger measured sections, photogrammetry and LIDAR methods are more suitable for capturing data on canopy shape, leaf mass and canopy volume
Secondary keywords:	thesis;vine canopies;lidar;reconstruction;photogrammetry;
Type (COBISS):	Bachelor thesis/paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za strojništvo
Pages:	XXII, 46 str., [16] str. pril.
ID:	14704322