285 citations · 427 across the 5 of their papers we have counts for
6 papers
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
Emanuele Palazzolo, Jens Behley, Philipp Lottes +2
Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situatio…
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
We present a novel weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network (DNN). Mos…
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming
Philipp Lottes, Jens Behley, Nived Chebrolu +2
Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat ev…
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming
Philipp Lottes, Jens Behley, Andres Milioto +1
Reducing the use of agrochemicals is an important component towards sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this…
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs
Andres Milioto, Philipp Lottes, Cyrill Stachniss
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time…