2 code implementations • 12 Sep 2020 • Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico D. Bloisi, Daniele Nardi
In this work, we propose an alternative solution with respect to the common data augmentation methods, applying it to the fundamental problem of crop/weed segmentation in precision farming.
1 code implementation • 30 Sep 2018 • Ciro Potena, Raghav Khanna, Juan Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto
The combination of aerial survey capabilities of Unmanned Aerial Vehicles with targeted intervention abilities of agricultural Unmanned Ground Vehicles can significantly improve the effectiveness of robotic systems applied to precision agriculture.
no code implementations • 9 Dec 2016 • Maurilio Di Cicco, Ciro Potena, Giorgio Grisetti, Alberto Pretto
We compare the classification results obtained using both real and synthetic images as training data.