| A machine learning approach for pixel wise classification of residue and vegetation cover under field conditions P Riegler-Nurscher, J Prankl, T Bauer, P Strauss, H Prankl biosystems engineering 169, 188-198, 2018 | 38 | 2018 |
| Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation P Riegler-Nurscher, G Moitzi, J Prankl, J Huber, J Karner, H Wagentristl, ... Soil and Tillage Research 196, 104351, 2020 | 30 | 2020 |
| A system for online control of a rotary harrow using soil roughness detection based on stereo vision P Riegler-Nurscher, J Karner, J Huber, G Moitzi, H Wagentristl, ... AgEng 2017, 6, 2017 | 4 | 2017 |
| Tillage machine control based on a vision system for soil roughness and soil cover estimation P Riegler-Nurscher, J Prankl, M Vincze Computer Vision Systems: 12th International Conference, ICVS 2019 …, 2019 | 2 | 2019 |
| An integrated image analysis system for the estimation of soil cover. P Riegler-Nurscher, J Prankl, T Bauer, P Strauss, H Prankl | 2 | 2016 |
| Grassland Yield Estimation Using Transfer Learning from Remote Sensing Data E Eder, P Riegler-Nurscher, J Prankl, H Prankl KI-Künstliche Intelligenz, 1-8, 2023 | 1 | 2023 |
| Semantic Segmentation for the Estimation of Plant and Soil Parameters on Agricultural Machines P Riegler-Nurscher, J Prankl, M Vincze Special Track: Vision and Learning for Robotic Applications (VLRA), along …, 2020 | 1 | 2020 |
| New approaches for improving nitrogen efficiency based on clustering algorithms. P Kastenhofer, P Prankl, P Riegler-Nurscher, J Prankl | | 2021 |
| Mobile vision system for estimation of soil and plant properties P Riegler-Nurscher Technische Universität Wien, 2021 | | 2021 |
| A review on plant and soil properties estimation using ground-based computer vision techniques in the visible spectrum P Riegler-Nurscher, J Prankl, M Vincze, H Prankl LAND.TECHNIK 2020 2374, 353 - 360, 2020 | | 2020 |
| Detektion eines Grünlandschwades mit Stereo-RGB Kamera P Riegler-Nurscher, J Prankl, M Hofinger, M Vincze Gesellschaft für Informatik eV, 2020 | | 2020 |
| Grubberwalzen: Wie groß sind die Unterschiede? F Handler, C Rechberger, M Nadlinger, P Riegler-Nurscher, L Weninger | | 2019 |
| Robust online soil roughness measurement using stereo vision P Riegler-Nurscher, J Prankl, T Bauer, P Strauss, H Prankl EurAgEng, 6, 2019 | | 2019 |
| Influence of soil tillage and long-term fertilization on the aggregate size distribution and seedbed roughness G Moitzi, P Riegler-Nurscher, J Huber, HP Kaul, R Neugschwandtner, ... Farm Machinery And Processes Management In Sustainable Agriculture, 6, 2019 | | 2019 |
| Machine vision for soil roughness measurement and control on tillage machines at seedbed preparation P Riegler-Nurscher, G Moitzi, J Prankl, J Huber, J Karner, H Wagentristl, ... Soil & tillage research, 2019 | | 2019 |
| Beurteilung der Schnittqualität von Schneid-und Mähwerken mittels photogrammetrischer Methode P Riegler-Nurscher, J Prankl, J Karner Gesellschaft für Informatik eV, 2019 | | 2019 |
| Smart Farming: Teilflächenspezifisch andüngen P Prankl, P Riegler-Nurscher | | 2018 |
| Soilcover-Bestimmung der Bodenbedeckung mittels Bildanalyse-App P Riegler-Nurscher, J Prankl # PLACEHOLDER_PARENT_METADATA_VALUE#, 86-88, 2018 | | 2018 |
| Innovative field test methods for tillage tools. C Rechberger, P Riegler-Nurscher, J Prankl, F Handler | | 2017 |
| The'Soil Cover App'-a new tool for fast determination of dead and living biomass on soil T Bauer, P Strauss, P Riegler-Nurscher, J Prankl, H Prankl EGU General Assembly Conference Abstracts, 2215, 2017 | | 2017 |
