Dr. Nikolaos Tsoulias

Nikolaos Tsoulias

Dr. Nikolaos Tsoulias

Organisationseinheit(en):Institut für Technik Professur für Technik

Kontaktdaten:
Tel.: +49 6722 502 371
E-Mail: Nikolaos.Tsoulias(at)hs-gm.de

Postanschrift:Von-Lade-Straße 1
D-65366 Geisenheim

Besucheranschrift: Gebäude 6003
Raum 213
Brentanostraße 9
65366 Geisenheim

Poss B., Tsoulias N., Heiß A., Paraforos D. (2024): Vergleich zwischen luft- und bodengeführten Laser-Scannern zur Bestimmung der Laubwandhöhe im Weinbau. Bonn S. 371 - 376.
978-3-88579-738-8

Psiroukis V., Papadopoulos G., Kasimati A., Tsoulias N., Fountas S. (2023): Cotton Growth Modelling Using UAS-Derived DSM and RGB Imagery. Remote Sensing 15 (5) DOI: 10.3390/rs15051214

Tsoulias N., Saha K.K., Zude-Sasse M. (2023): In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI). Computers and Electronics in Agriculture 205 DOI: 10.1016/j.compag.2022.107611

Tsoulias N., Jörissen S., Nüchter A. (2022): An approach for monitoring temperature on fruit surface by means of thermal point cloud. MethodsX 9 DOI: 10.1016/j.mex.2022.101712

Penzel M., Tsoulias N. (2022): Annual shoot growth on apple trees with variable canopy leaf area and crop load in response to LiDAR scanned leaf area to fruit ratio**. International Agrophysics 36 (3) S. 173 - 180. DOI: 10.31545/intagr/150761

Penzel M., Tsoulias N., Saha K.K., Handtke N., Gubin E., Zude-Sasse M. (2022): Cherry tree growth in response to varying soil apparent electrical conductivity. International Society for Horticultural Science (ISHS) S. 289 - 296. DOI: 10.17660/ActaHortic.2023.1366.34

Tsoulias N., Xanthopoulos G., Fountas S., Zude-Sasse M. (2022): Effects of soil ECa and LiDAR-derived leaf area on yield and fruit quality in apple production. Biosystems Engineering 223 S. 182 - 199. DOI: 10.1016/j.biosystemseng.2022.03.007

Tsoulias N., Herppich W.B., Fountas S., Zude-Sasse M. (2022): Estimating the spatial variability of water needs using the soil ECa, rooting depth, and fruit developmental stage in sweet cherry orchard. International Society for Horticultural Science (ISHS) S. 103 - 110. DOI: 10.17660/ActaHortic.2022.1335.12

Saha K.K., Tsoulias N., Weltzien C., Zude-Sasse M. (2022): Estimation of Vegetative Growth in Strawberry Plants Using Mobile LiDAR Laser Scanner. Horticulturae 8 (2) DOI: 10.3390/horticulturae8020090

Zapata N.T., Tsoulias N., Saha K.K., Zude-Sasse M. (2022): Fourier analysis of LiDAR scanned 3D point cloud data for surface reconstruction and fruit size estimation. S. 197 - 202. DOI: 10.1109/METROAGRIFOR55389.2022.9964881

Mostafa H., Saha K.K., Tsoulias N., Zude-Sasse M. (2022): Using LiDAR technique and modified Community Land Model for calculating water interception of cherry tree canopy. Agricultural Water Management 272 DOI: 10.1016/j.agwat.2022.107816

Tsoulias N., Fountas S., Zude-Sasse M. (2021): Estimating the canopy volume using a 2D LiDAR in apple trees. International Society for Horticultural Science (ISHS) S. 437 - 444. DOI: 10.17660/ActaHortic.2021.1327.58

Saha K.K., Tsoulias N., Zude-Sasse M. (2021): Estimation of leaf area of sweet cherry trees trained as spindle using ground based 2D mobile LiDAR system. International Society for Horticultural Science (ISHS) S. 429 - 436. DOI: 10.17660/ActaHortic.2021.1327.57

Penzel M., Herppich W.B., Weltzien C., Tsoulias N., Zude-Sasse M. (2021): Modeling of Individual Fruit-Bearing Capacity of Trees Is Aimed at Optimizing Fruit Quality of Malus x domestica Borkh. 'Gala'. Frontiers in Plant Science 12 DOI: 10.3389/fpls.2021.669909

Zude-Sasse M., Akbari E., Tsoulias N., Psiroukis V., Fountas S., Ehsani R. (2021): Sensing in Precision Horticulture. 978-3-030-78431-7

Saha K.K., Tsoulias N., Zude-Sasse M. (2020): Bewertung der Messunsicherheit bei der Analyse von Obstbäumen mit mobilem 2D-Laserscanner. Landtechnik 75 (4) S. 270 - 277. DOI: 10.15150/lt.2020.3251

Penzel M., Lakso A.N., Tsoulias N., Zude-Sasse M. (2020): Carbon consumption of developing fruit and the fruit bearing capacity of individual RoHo 3615 and Pinova apple trees. International Agrophysics 34 (4) S. 409 - 423. DOI: 10.31545/intagr/127540

Tsoulias N., Xanthopoulos G., Fountas S., Zude M. (2020): In-situ detection of apple fruit using a 2D LiDAR laser scanner. S. 278 - 282. DOI: 10.1109/metroagrifor50201.2020.9277629

Penzel M., Tsoulias N., Herppich W.B., Weltzien C., Zude-Sasse M. (2020): Mapping the fruit bearing capacity in a commercial apple (Malus x domestica BORKH.) orchard. S. 283 - 287. DOI: 10.1109/metroagrifor50201.2020.9277563

Tsoulias N., Gebbers R., Zude-Sasse M. (2020): Using data on soil ECa, soil water properties, and response of tree root system for spatial water balancing in an apple orchard. Precision Agriculture 21 S. 522 - 548. DOI: 10.1007/s11119-019-09680-8

Tsoulias N., Paraforos D.S., Fountas S., Zude-Sasse M. (2019): Calculating the water deficit spatially using LiDAR laser scanner in an apple orchard. S. 115 - 121. DOI: 10.3920/978-90-8686-888-9_13
978-90-8686-337-2

Saha K.K., Tsoulias N., Zude-Sasse M. (2019): Removing ground points from 3D point cloud in apple orchard. Potsdam Leibniz-Institut für Agrartechnik und Bioökonomie e.V. Bornimer Agrartechnische Berichte 102 S. 76 - 83.

Penzel M., Tsoulias N., Lakso A.N., Zude-Sasse M. (2019): Spatial variability of the individual tree's fruit bearing capacity in commercial orchards of 'RoHo 3615' and 'Pinova' apple. International Society for Horticultural Science (ISHS) S. 125 - 132. DOI: 10.17660/ActaHortic.2021.1314.17

Tsoulias N., Paraforos D., Brandes N., Fountas S., Zude-Sasse M. (2018): Calculating the Water Deficit of Apple Orchard by Means of Spatially Resolved Approach. Montreal,Quebec

Tsoulias N., Zude-Sasse M. (2018): Calculating the water deficit of cherry orchard by means of spatially resolved approach. DOI: 10.13031/aim.201800906

Brandes N., Tsoulias N., Zude-Sasse M. (2018): Ermittlung des kultur-und standortangepassten Wasserbedarfs unter Berücksichtigung der Fruchtentwicklungsphasen bei Kulturheidelbeere (Vaccinium corymbosum L.). Landtechnik 73 (6) S. 179 - 187. DOI: 10.15150/lt.2018.3195