479.575 PEOPLE
| People | Locations | Statistics |
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| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Kooistra, Lammert
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications
- 2022Haus Riswick grassland experiment with N fertilization and plant growth monitoring based on Unmanned Aerial Vehicle (UAV) hyperspectral imagery - campaigns of 2014 and 2017
- 2021Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approachescitations
- 2019Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potatocitations
- 2018Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagerycitations
- 2017Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Productioncitations
- 2017Mapping reflectance anisotropy of a potato canopy using aerial images acquired with an unmanned aerial vehiclecitations
- 2017Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production (vol 17, 1428, 2017)citations
- 2014A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehiclescitations
- 2014Crop monitoring using a light-weight hyperspectral mapping system for unmanned aerial vehicles: firs results for the 2013 season
- 2013A light-weight hyperspectral mapping system for unmanned aerial vehicles - The first resultscitations
- 2013Crop monitoring using a light-weight hyperspectral mapping system for unmanned aerial vehicles: first results for the 2013 season
Places of action
