Vine canopy reconstruction and assessment with terrestrial lidar and aerial imaging

Igor Petrović (Author), Matej Sečnik (Author), Marko Hočevar (Author), Peter Berk (Author)

Abstract

For successful dosing of plant protection products, the characteristics of the vine canopies should be known, based on which the spray amount should be dosed. In the field experiment, we compared two optical experimental methods, terrestrial lidar and aerial photogrammetry, with manual defoliation of some selected vines. Like those of other authors, our results show that both terrestrial lidar and aerial photogrammetry were able to represent the canopy well with correlation coefficients around 0.9 between the measured variables and the number of leaves. We found that in the case of aerial photogrammetry, significantly more points were found in the point cloud, but this depended on the choice of the ground sampling distance. Our results show that in the case of aerial UAS photogrammetry, subdividing the vine canopy segments to 5 × 5 cm gives the best representation of the volume of vine canopies.

Keywords

precision agriculture;remote sensing;3D point clouds;vineyard;canopy reconstruction;terrestrial lidar;aerial photogrammetry;manual defoliation;

Data

Language:	English
Year of publishing:	2022
Typology:	1.01 - Original Scientific Article
Organization:	UM FKBV - Faculty of Agriculture
Publisher:	MDPI
UDC:	634.8:632.9:528.8:004.9
COBISS:	132638723
ISSN:	2072-4292
Views:	20
Downloads:	5
Average score:	0 (0 votes)
Metadata:

Other data

Secondary keywords:	natančno kmetijstvo;daljinsko zaznavanje;3D oblaki točk;vinogradi;rekonstrukcija krošenj;terestrični LiDAR;aero fotogrametrija;ročna defoliacija;
Type (COBISS):	Article
Pages:	str. 1-23
Volume:	ǂVol. ǂ14
Issue:	ǂIss. ǂ12
Chronology:	2022
DOI:	10.3390/rs14225894
ID:	22635485